[
    {
        "id": "amirkhanov2020visual",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics in Dental Aesthetics",
        "date": "2020",
        "abstract": "Dental healthcare increasingly employs computer-aided design software,\nto provide patients with high-quality dental prosthetic devices. In\nmodern dental reconstruction, dental technicians address the unique\nanatomy of each patient individually, by capturing the dental impression\nand measuring the mandibular movements. Subsequently, dental technicians\ndesign a custom denture that fits the patient from a functional point of\nview. The current workflow does not include a systematic analysis of\naesthetics, and dental technicians rely only on an aesthetically\npleasing mock-up that they discuss with the patient, and on their\nexperience. Therefore, the final denture aesthetics remain unknown until\nthe dental technicians incorporate the denture into the patient. In this\nwork, we present a solution that integrates aesthetics analysis into the\nfunctional workflow of dental technicians. Our solution uses a video\nrecording of the patient, to preview the denture design at any stage of\nthe denture design process. We present a teeth pose estimation technique\nthat enables denture preview and a set of linked visualizations that\nsupport dental technicians in the aesthetic design of dentures. These\nvisualizations assist dental technicians in choosing the most\naesthetically fitting preset from a library of dentures, in identifying\nthe suitable denture size, and in adjusting the denture position. We\ndemonstrate the utility of our system with four use cases, explored by a\ndental technician. Also, we performed a quantitative evaluation for\nteeth pose estimation, and an informal usability evaluation, with\npositive outcomes concerning the integration of aesthetics analysis into\nthe functional workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            660,
            925,
            1628,
            1629,
            166,
            869
        ],
        "doi": "https://doi.org/10.1111/cgf.14174",
        "journal": "Computer Graphics Forum",
        "number": "7",
        "pages": "635–646",
        "pages_from": "635",
        "pages_to": "646",
        "volume": "39",
        "research_areas": [],
        "keywords": [
            "Applied computing -> Life and medical sciences",
            "Human-centered computing -> Visualization application domains"
        ],
        "weblinks": [
            {
                "href": "https://amirkhanov.net/visual-analytics-in-dental-aesthetics/",
                "caption": "Official page",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/amirkhanov2020visual/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2018-withteeth",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "WithTeeth: Denture Preview in Augmented Reality",
        "date": "2018-10",
        "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            817,
            660,
            582,
            1628,
            1629,
            166
        ],
        "address": "https://diglib.eg.org/handle/10.2312/vmv20181250",
        "booktitle": "Vision, Modeling and Visualization",
        "cfp": {
            "name": "call_for_paper_vmv18.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "748387",
            "orig_name": "call_for_paper_vmv18.pdf",
            "ext": "pdf"
        },
        "editor": "Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip",
        "event": "VMV18",
        "isbn": "978-3-03868-072-7",
        "lecturer": [
            1170
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2018-withteeth-paper.pdf",
                "type": "application/pdf",
                "size": 4951324,
                "path": "Publication:amirkhanov-2018-withteeth",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video demo",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2018-withteeth-video demo.mp4",
                "type": "video/mp4",
                "size": 35459157,
                "path": "Publication:amirkhanov-2018-withteeth",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Smile Analytics"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2016-gft",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays",
        "date": "2016-07",
        "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 216,
            "image_height": 205,
            "name": "bernhard-2016-gft-.jpg",
            "type": "image/jpeg",
            "size": 38475,
            "path": "Publication:bernhard-2016-gft",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            1110,
            1293,
            896,
            171
        ],
        "journal": "IEEE Computer Graphics and Applications",
        "number": "4",
        "pages_from": "56",
        "pages_to": "66",
        "volume": "36",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "computer graphics",
            "gauge-figure task",
            "perceptual visualization",
            "shape perception"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440",
                "caption": "IEEE Xplore",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 216,
                "image_height": 205,
                "name": "bernhard-2016-gft-.jpg",
                "type": "image/jpeg",
                "size": 38475,
                "path": "Publication:bernhard-2016-gft",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2016_Colormaps",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Personalized 2D color maps",
        "date": "2016",
        "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            660,
            171
        ],
        "date_from": "2016-10",
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "pages_from": "143",
        "pages_to": "150",
        "volume": "59",
        "research_areas": [
            "IllVis",
            "Perception"
        ],
        "keywords": [
            "Color; Perception",
            "Perception",
            "Color vision deficiency"
        ],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2016_Individualization",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Individualization of 2D Color Maps for People with Color Vision Deficiencies",
        "date": "2016",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Waldin_Nicholas_2016_Individualization-.pdf",
            "type": "application/pdf",
            "size": 3812707,
            "path": "Publication:Waldin_Nicholas_2016_Individualization",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            660,
            488,
            171
        ],
        "booktitle": "Proceedings of the 32Nd Spring Conference on Computer Graphics",
        "date_from": "2016",
        "date_to": "2016",
        "lecturer": [
            1339
        ],
        "location": "Slomenice, Slovakia",
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2948643",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Waldin_Nicholas_2016_Individualization-.pdf",
                "type": "application/pdf",
                "size": 3812707,
                "path": "Publication:Waldin_Nicholas_2016_Individualization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/",
        "__class": "Publication"
    },
    {
        "id": "Bernhard_Matthias_2014_VAC",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Attention in Computer Graphics",
        "date": "2014-12",
        "abstract": "This thesis is concerned with gaze analysis methods to study visual attention in interactive 3D computer-graphics applications, such as virtual environments or computer games. Under this scope, research has been carried out in two directions: On the one hand, it was investigated how gaze analysis in three-dimensional virtual environments can be advanced. On the other hand, approaches were explored which improve three-dimensional graphics by taking into account visual attention of a user.\r\n\r\nTo advance gaze analysis in 3D computer graphics applications, two challenges have been\r\naddressed: First, inferring the object of attention at a certain point in time from the current output of an eye tracker – a technique which we denote as gaze-to-object mapping –, and second, deriving a statistical model for visual attention - a data structure we denote as importance map - from sequences of gaze samples recorded from many users. While addressing these challenges is a crucial step towards advancing gaze analysis and research on visual attention which employs modern computer graphics, the results may also be used in applications which attempt to perceptually optimize rendering. Thus, the third challenge addressed in this thesis was to explore an example application for attention-aware rendering techniques, where gaze-to-object mapping or importance maps can be employed to determine or predict the object of attention at run time. Thus, this thesis concludes with a pilot study on an application that dynamically adjusts the configuration of a stereo 3D display such that the object being attended by the user can be seen most comfortably.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660
        ],
        "date_end": "2014",
        "date_start": "2009",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1313
        ],
        "rigorosum": "2014-12-11",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "dissertation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bernhard_Matthias_2014_VAC-dissertation.pdf",
                "type": "application/pdf",
                "size": 82061486,
                "path": "Publication:Bernhard_Matthias_2014_VAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2014-af",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": " Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations",
        "date": "2014-12",
        "abstract": "Focus+context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and subjective disturbance, is challenging. This paper proposes Attractive Flicker, a novel technique for visual guidance in dynamic narrative visualizations. We first show that flicker is a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. The novel aspect of our Attractive Flicker technique is that it consists of two signal stages: The first “orientation stage” is a short but intensive flicker stimulus to attract the attention to elements of interest. Subsequently, the intensive flicker is reduced to a minimally disturbing luminance oscillation (“engagement stage”) as visual support to keep track of the focus elements. To find a good trade-off between attraction effectiveness and subjective annoyance caused by flicker, we conducted two perceptual studies to find suitable signal parameters. We showcase Attractive Flicker with the parameters obtained from the perceptual statistics in a study of molecular interactions. With Attractive Flicker, users were able to easily follow the narrative of the visualization on a large display, while the flickering of focus elements was not disturbing when observing the context.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 605,
            "name": "waldner-2014-af-.png",
            "type": "image/png",
            "size": 232715,
            "path": "Publication:waldner-2014-af",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1189,
            660,
            190,
            171
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "IEEE VIS 2014",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1110
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "2456",
        "pages_to": "2465",
        "volume": "20",
        "research_areas": [
            "BioVis",
            "Perception"
        ],
        "keywords": [
            "Narrative Visualization",
            "Flicker",
            "Visual Attention"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346352",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 605,
                "name": "waldner-2014-af-.png",
                "type": "image/png",
                "size": 232715,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png"
            },
            {
                "description": "Screenshot of the large molecular scene used in the final experiment",
                "filetitle": "molecularScene",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 7597,
                "image_height": 1327,
                "name": "waldner-2014-af-molecularScene.png",
                "type": "image/png",
                "size": 3805356,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2014-af-paper.pdf",
                "type": "application/pdf",
                "size": 6413298,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preview video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "waldner-2014-af-Preview video.mp4",
                "type": "video/mp4",
                "size": 16497882,
                "path": "Publication:waldner-2014-af",
                "preview_name": "waldner-2014-af-Preview video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14964,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Submission video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "waldner-2014-af-Submission video.mp4",
                "type": "video/mp4",
                "size": 23904054,
                "path": "Publication:waldner-2014-af",
                "preview_name": "waldner-2014-af-Submission video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 48929,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2014-GTOM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gaze-To-Object Mapping During Visual Search in 3D Virtual Environments ",
        "date": "2014-08",
        "abstract": "Stimuli obtained from highly dynamic 3D virtual environments and synchronous eye-tracking data are commonly used by algorithms that strive to correlate gaze to scene objects, a process referred to as Gaze-To-Object Mapping (GTOM). We propose to address this problem with a probabilistic approach using Bayesian inference. The desired result of the inference is a predicted probability density function (PDF) specifying for each object in the scene a probability to be attended by the user. To evaluate the quality of a predicted attention PDF, we present a methodology to assess the information value (i.e., likelihood) in the predictions of dierent approaches that can be used to infer object attention. To this end, we propose an experiment based on a visual search task which allows us to determine the object of attention at a certain point in time under controlled conditions.\nWe perform this experiment with a wide range of static and dynamic visual scenes to obtain a ground-truth evaluation data set, allowing us to assess GTOM techniques in a set of 30 particularly challenging cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 703,
            "image_height": 314,
            "name": "bernhard-2014-GTOM-thumnail.png",
            "type": "image/png",
            "size": 151264,
            "path": "Publication:bernhard-2014-GTOM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            731,
            779,
            193
        ],
        "date_from": "2014-08-08",
        "date_to": "2014-08-09",
        "event": "ACM Symposium on Applied Perception (SAP 2014)",
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception (Special Issue SAP 2014)",
        "lecturer": [
            660
        ],
        "location": "Vancouver, Canada",
        "number": "3",
        "pages_from": "14:1",
        "pages_to": "14:17",
        "volume": "11",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "object-based attention",
            "eye-tracking",
            "virtual environments",
            "visual attention"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?doid=2663596.2644812",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2014-GTOM-draft.pdf",
                "type": "application/pdf",
                "size": 9514669,
                "path": "Publication:bernhard-2014-GTOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 703,
                "image_height": 314,
                "name": "bernhard-2014-GTOM-thumnail.png",
                "type": "image/png",
                "size": 151264,
                "path": "Publication:bernhard-2014-GTOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "bernhard-2014-GTOM-video.mp4",
                "type": "video/mp4",
                "size": 29837759,
                "path": "Publication:bernhard-2014-GTOM",
                "preview_name": "bernhard-2014-GTOM-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 12852,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Mofa",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/",
        "__class": "Publication"
    },
    {
        "id": "hecher-2014-MH",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparative Perceptual Study of Soft Shadow Algorithms",
        "date": "2014-06",
        "abstract": "We performed a perceptual user study of algorithms that approximate soft shadows in real time. Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 978,
            "image_height": 850,
            "name": "hecher-2014-MH-image.png",
            "type": "image/png",
            "size": 245534,
            "path": "Publication:hecher-2014-MH",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            779,
            660,
            326,
            452,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "number": "5",
        "pages_from": "5:1",
        "pages_to": "5:21",
        "volume": "11",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "Perception Studies",
            "Soft Shadows"
        ],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/2620029",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hecher-2014-MH-draft.pdf",
                "type": "application/pdf",
                "size": 7731118,
                "path": "Publication:hecher-2014-MH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 978,
                "image_height": 850,
                "name": "hecher-2014-MH-image.png",
                "type": "image/png",
                "size": 245534,
                "path": "Publication:hecher-2014-MH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2014-EFD",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Effects of Fast Disparity Adjustments in Gaze-Controlled Stereoscopic Applications",
        "date": "2014-03",
        "abstract": "With the emergence of affordable 3D displays, stereoscopy is becoming\na commodity. However, often users report discomfort even after brief exposures to stereo content. One of the main reasons is the conflict between vergence and accommodation that is caused by 3D displays. We investigate dynamic adjustment of stereo parameters\nin a scene using gaze data in order to reduce discomfort. In a user study, we measured stereo fusion times after abrupt manipulation of disparities using gaze data. We found that gaze-controlled manipulation of disparities can lower fusion times for large disparities. In addition we found that gaze-controlled disparity adjustment should be applied in a personalized manner and ideally performed only at the extremities or outside the comfort zone of subjects.\nThese results provide important insight on the problems associated with fast disparity manipulation and are essential for developing appealing gaze-contingent and gaze-controlled applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1216,
            "image_height": 332,
            "name": "bernhard-2014-EFD-image.png",
            "type": "image/png",
            "size": 160276,
            "path": "Publication:bernhard-2014-EFD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            1017,
            779,
            731,
            193
        ],
        "booktitle": "Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA 2014)",
        "date_from": "2014-03-26",
        "date_to": "2014-03-28",
        "editor": "Pernilla Qvarfordt and Dan Witzner Hansen",
        "isbn": "978-1-4503-2751-0",
        "lecturer": [
            660
        ],
        "location": "Safety Harbor, FL, USA",
        "pages_from": "111",
        "pages_to": "118",
        "publisher": "ACM",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "stereoscopic rendering",
            "comfort models",
            "fusion time",
            "eye tracking"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "conference paper",
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2014-EFD-draft.pdf",
                "type": "application/pdf",
                "size": 4234907,
                "path": "Publication:bernhard-2014-EFD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft:thumb{{size}}.png"
            },
            {
                "description": "teaser",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1216,
                "image_height": 332,
                "name": "bernhard-2014-EFD-image.png",
                "type": "image/png",
                "size": 160276,
                "path": "Publication:bernhard-2014-EFD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/",
        "__class": "Publication"
    },
    {
        "id": "sundstedt-2013-vag",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Attention and Gaze Behaviour in Games: An Object-Based Approach",
        "date": "2013-04",
        "abstract": "This chapter presents state-of-the-art methods that tap the potential of psychophysics for the purpose of understanding game players' behavior. Studying gaze behavior in gaming environments has recently gained momentum as it affords a better understanding of gamers' visual attention. However, while knowing where users are attending in a computer game would be useful at a basic level, it does not provide insight into what users are interested in, or why. An answer to these questions can be tremendously useful to game designers, enabling them to improve gameplay, selectively increase visual fidelity, and optimize the distribution of computing resources. Furthermore, this could be useful in verifying game mechanics, improving game AI and smart positioning of advertisements within games, all being applications widely desirable across the games industry. Techniques are outlined to collect gaze data, and map fixation points back to semantic objects in a gaming environment, enabling a deeper understanding of how players interact with games. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 958,
            "image_height": 338,
            "name": "sundstedt-2013-vag-image.png",
            "type": "image/png",
            "size": 82333,
            "path": "Publication:sundstedt-2013-vag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            730,
            660,
            731,
            732,
            193
        ],
        "booktitle": "Game Analytics: Maximizing the Value of Player Data ",
        "editor": "M. Seif El-Nasr, A. Drachen, A. Canossa, K. Isbister,",
        "isbn": "9781447147688",
        "pages_from": "543",
        "pages_to": "583",
        "publisher": "Springer",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "Eye Tracking",
            "Visual Attention",
            "Computer Games"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 958,
                "image_height": 338,
                "name": "sundstedt-2013-vag-image.png",
                "type": "image/png",
                "size": 82333,
                "path": "Publication:sundstedt-2013-vag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sundstedt-2013-vag-Paper.pdf",
                "type": "application/pdf",
                "size": 1343680,
                "path": "Publication:sundstedt-2013-vag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2011-bmtf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bi-modal Task Faciliation in a Virtual Traffic Scenario through Spatialized Sound Rendering ",
        "date": "2011-11",
        "abstract": "Audio rendering is generally used to increase the realism of Virtual Environments (VE). In addition, audio rendering may also improve the performance in specific tasks carried out in interactive applications such as games or simulators.\n\nIn this paper we investigate the effect of the quality of sound rendering on task performance in a task which is inherently vision dominated. The task is a virtual traffic gap crossing scenario with two elements: first, to discriminate crossable and uncrossable gaps in oncoming traffic, and second, to find the right timing to start crossing the street without an accident.\n\nA study was carried out with 48 participants in an immersive Virtual Environment setup with a large screen and headphones. Participants were grouped into three different conditions. In the first condition, spatialized audio rendering with head-related transfer function (HRTF) filtering was used. The second group was tested with conventional stereo rendering, and the remaining group ran the experiment in a mute condition.\n\nOur results give a clear evidence that spatialized audio improves task performance compared to the unimodal mute condition. Since all task-relevant information was in the participants' field-of-view, we conclude that an enhancement of task performance results from a bimodal advantage due to the integration of visual and auditory spatial cues.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "bernhard-2011-bmtf-image.jpg",
            "type": "image/jpeg",
            "size": 231255,
            "path": "Publication:bernhard-2011-bmtf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            838,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "note": "Article No. 24",
        "number": "4",
        "pages_from": "1",
        "pages_to": "22",
        "volume": "8",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "bimodal task faciliation",
            "pedestrian safety",
            "virtual environments",
            "audio-visual perception",
            "head related transfer functions"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2043606&CFID=76205769&CFTOKEN=78897554",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "bernhard-2011-bmtf-draft.pdf",
                "type": "application/pdf",
                "size": 10940015,
                "path": "Publication:bernhard-2011-bmtf",
                "preview_name": "bernhard-2011-bmtf-draft:preview.png",
                "preview_type": "application/pdf",
                "preview_size": 14528250,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "bernhard-2011-bmtf-image.jpg",
                "type": "image/jpeg",
                "size": 231255,
                "path": "Publication:bernhard-2011-bmtf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD",
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2011-maicg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Manipulating Attention in Computer Games",
        "date": "2011-06",
        "abstract": "In computer games, a user’s attention is focused on the current task, and task-irrelevant details remain unnoticed. This behavior, known as inattentional blindness, is a main problem for the optimal placement of information or advertisements. We propose a guiding principle based on Wolfe’s theory of Guided Search, which predicts the saliency of objects during a visual search task. Assuming that computer games elicit visual search tasks frequently, we applied this model in a “reverse” direction: Given a target item (e.g., advertisement) which should be noticed by the user, we choose a frequently searched game item and modify it so that it shares some perceptual features (e.g., color or orientation) with the target item. A memory experiment with 36 participants showed that in an action video game, advertisements were more noticeable to users when this method is applied.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            839,
            193
        ],
        "booktitle": "Proceedings of the IEEE IVMSP Workshop on Perception and Visual Signal Analysis",
        "date_from": "2011-06-16",
        "date_to": "2011-06-17",
        "isbn": "9781457712852",
        "lecturer": [
            660
        ],
        "location": "Ithaca, NY",
        "pages_from": "153",
        "pages_to": "158",
        "publisher": "IEEE",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "saliency",
            "attention guidance",
            "inattentional blindness",
            "in-game advertising",
            "guided search"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2011-maicg-paper.pdf",
                "type": "application/pdf",
                "size": 2337253,
                "path": "Publication:bernhard-2011-maicg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2011-maicg-presentation.ppt",
                "type": "application/vnd.ms-office",
                "size": 12238336,
                "path": "Publication:bernhard-2011-maicg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-presentation.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2010-gph",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Empirical Pipeline to Derive Gaze Prediction Heuristics for 3D Action Games",
        "date": "2010-10",
        "abstract": "Gaze analysis and prediction in interactive virtual environments, such as games, is a challenging topic since the 3D perspective and variations of the viewpoint as well as the current task introduce many variables that affect the distribution of gaze. In\r\nthis article, we present a novel pipeline to study eye-tracking data acquired from interactive 3D applications. The result of the\r\npipeline is an importance map which scores the amount of gaze spent on each object. This importance map is then used as a heuristic to predict a user’s visual attention according to the object properties present at runtime. The novelty of this approach is that the analysis is performed in object space and the importance map is defined in the feature space of high-level properties. High-level properties are used to encode task relevance and other attributes, such as eccentricity, which may have an impact on gaze behavior.\r\n\r\nThe pipeline has been tested with an exemplary study on a first-person shooter game. In particular, a protocol is presented describing the data acquisition procedure, the learning of different importance maps from the data, and finally an evaluation of the performance of the derived gaze predictors. A metric measuring the degree of correlation between attention predicted by the importance map and the actual gaze yielded clearly positive results. The correlation becomes particularly strong when the player is attentive to an in-game task.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1740,
            "image_height": 657,
            "name": "bernhard-2010-gph-teaser.JPG",
            "type": "image/jpeg",
            "size": 113142,
            "path": "Publication:bernhard-2010-gph",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            731,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "number": "1",
        "pages_from": "4:1",
        "pages_to": "4:30",
        "volume": "8",
        "research_areas": [],
        "keywords": [
            "gaze predictor",
            "video games",
            "virtual environments",
            "eye-tracking",
            "gaze analysis"
        ],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/1857893.1857897",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2010-gph-draft.pdf",
                "type": "application/pdf",
                "size": 10856635,
                "path": "Publication:bernhard-2010-gph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1740,
                "image_height": 657,
                "name": "bernhard-2010-gph-teaser.JPG",
                "type": "image/jpeg",
                "size": 113142,
                "path": "Publication:bernhard-2010-gph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2006-dvrcta",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient CPU-based Direct Volume Rendering for CT-Angiography",
        "date": "2006-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "bernhard-2006-dvrcta-thesis.pdf",
            "type": "application/pdf",
            "size": 3944966,
            "path": "Publication:bernhard-2006-dvrcta",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660
        ],
        "supervisor": [
            693
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2006-dvrcta-thesis.pdf",
                "type": "application/pdf",
                "size": 3944966,
                "path": "Publication:bernhard-2006-dvrcta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/",
        "__class": "Publication"
    }
]