[ { "id": "Reisner_2013_RSB", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Reconstruction of Shape Boundaries with Multimodal Constrains", "date": "2013-05", "abstract": "Shape primitives are a valuable input for reconstructing 3D models from point clouds. In this paper we present a method for clipping simple shape primitives at reasonable boundaries. The shape primitives, e.g. planes or cylinders, are 2D manifolds which are automatically detected in unstructured point clouds. Shape boundaries are necessary for generating valid 3D models from multiple shape primitives, because shape primitives possibly have dimensions of infinite extent or they are only partially present in the scene. Hints for reasonable boundaries of shape primitives are indicated by different input sources and constraints. Point clouds and range images provide information where shape primitives coincide with measured surface points. Edge detectors offer cues for surface boundaries in color images. The set of shape primitives is analyzed for constraints such as intersections. Due to an iterative approach, intermediate results provide additional constraints such as coplanar boundary points over multiple shape primitives. We present a framework for extracting and optimizing shape boundaries based on the given input data and multiple constraints. Further, we provide a simple user interface for manually adding constraints in order to improve the results. Our approach generates structurally simple 3D models from shape primitives and point clouds. It is useful for reconstructing scenes containing man-made objects, such as buildings, interior scenes, or engineering objects. The application of multiple constraints enables the reconstruction of proper 3D models despite noisy or incomplete point clouds. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 162, "image_height": 200, "name": "Reisner_2013_RSB-Image.jpg", "type": "image/jpeg", "size": 24561, "path": "Publication:Reisner_2013_RSB", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 228, 190 ], "journal": "Computer & Graphics", "number": "3", "pages_from": "137", "pages_to": "147", "volume": "37", "research_areas": [ "Geometry" ], "keywords": [ "Shape boundaries", "Shape primitives; ", "Reconstruction;" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849313000022", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 162, "image_height": 200, "name": "Reisner_2013_RSB-Image.jpg", "type": "image/jpeg", "size": 24561, "path": "Publication:Reisner_2013_RSB", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisner_2013_RSB-Paper.pdf", "type": "application/pdf", "size": 1844060, "path": "Publication:Reisner_2013_RSB", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/", "__class": "Publication" }, { "id": "Reisner_Irene_2013_R3D", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Reconstruction of 3D Models from Images and Point Clouds with Shape Primitives", "date": "2013-02", "abstract": "3D models are widely used in different applications, including computer games, planning software, applications for training and simulation, and virtual city maps. For many of these applications it is necessary or at least advantageous, if the virtual 3D models are based on real world scenes and objects. Manual modeling is reserved for experts as it requires extensive skills. For this reason, it is necessary to provide automatic or semi-automatic, easy-to-use techniques for reconstructing 3D objects.\n\nIn this thesis we present methods for reconstructing 3D models of man-made scenes. These scenes can often be approximated with a set of geometric primitives, like planes or cylinders.\nUsing geometric primitives leads to light-weight, low-poly 3D models, which are beneficial for efficient storage and post-processing.\n\nThe applicability of reconstruction algorithms highly depends on the existing input data, the characteristics of the captured objects, and the desired properties of the reconstructed 3D model. For this reason, we present three algorithms that use different input data. It is possible to reconstruct 3D models from just a few photographs or to use a dense point cloud as input. Furthermore, we present techniques to combine information from both, images and point clouds.\n\nThe image-based reconstruction method is especially designed for environments with homogenous and reflective surfaces where it is difficult to acquire reliable point sets. Therefore we\nuse an interactive application which requires user input. Shape primitives are fit to user-defined segmentations in two or more images.\n\nOur point-based algorithms, on the other hand, provide fully automatic reconstructions. Nevertheless, the automatic computations can be enhanced by manual user inputs for generating\nimproved results. The first point-based algorithm is specialized on reconstructing 3D models of\nbuildings and uses unstructured point clouds as input. The point cloud is segmented into planar regions and converted into 3D geometry.\n\nThe second point-based algorithm additionally supports the reconstruction of interior scenes.\nWhile unstructured point clouds are supported as well, this algorithm specifically exploits the redundancy and visibility information provided by a set of range images. The data is automatically segmented into geometric primitives. Then the shape boundaries are extracted either automatically or interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisner_Irene_2013_R3D-.pdf", "type": "application/pdf", "size": 154072807, "path": "Publication:Reisner_Irene_2013_R3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847 ], "date_end": "2013-01", "date_start": "2010-01", "reviewer_1": [ 190 ], "reviewer_2": [ 1325 ], "rigorosum": "2013-03-12", "supervisor": [ 190 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisner_Irene_2013_R3D-.pdf", "type": "application/pdf", "size": 154072807, "path": "Publication:Reisner_Irene_2013_R3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/", "__class": "Publication" }, { "id": "reisner-2012-iwssip", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Segmenting Multiple Range Images with Primitive Shapes", "date": "2012-04", "abstract": "We introduce a novel method for automatically segmenting multiple registered range images by detecting and optimizing geometric primitives. The resulting shapes provide high level information about scanned objects and are a valuable input for surface reconstruction, hole filling, or shape analysis. We begin by generating a global graph of sample points covering all input frames. The graph structure allows to compute a globally consistent segmentation with a memory and time-efficient solution, even for large sets of input images. We iteratively detect shapes with a Ransac-approach, optimize the assignments of graph nodes to shapes, and optimize the shape parameters. Finally, pixel-accurate segmentations can be extracted for each source image individually. By using range images instead of unstructured point clouds as input, we can exploit additional information such as connectivity or varying precision of depth measurements.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 850, "image_height": 640, "name": "reisner-2012-iwssip-image.png", "type": "image/png", "size": 911961, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 228 ], "booktitle": "Proceedings of 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)", "date_from": "2012-04-11", "date_to": "2012-04-13", "isbn": "978-3-200-02588-2", "lecturer": [ 847 ], "location": "Vienna", "research_areas": [], "keywords": [ "surface fitting", "range data", "segmentation", "shape detection" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 850, "image_height": 640, "name": "reisner-2012-iwssip-image.png", "type": "image/png", "size": 911961, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2012-iwssip-paper.pdf", "type": "application/pdf", "size": 2294181, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/", "__class": "Publication" }, { "id": "reisner-2011-comdm", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Consolidation of Multiple Depth Maps", "date": "2011-11", "abstract": "Consolidation of point clouds, including denoising, outlier removal and normal estimation, is an important pre-processing step for surface reconstruction techniques. We\r\npresent a consolidation framework specialized on point clouds created by multiple frames of a depth camera. An\r\nadaptive view-dependent locally optimal projection operator denoises multiple depth maps while keeping their struc\r\nture in two-dimensional grids. Depth cameras produce a systematic variation of noise scales along the depth axis.\r\nAdapting to different noise scales allows to remove noise in the point cloud and preserve well-defined details at the same time. Our framework provides additional consolidation steps for depth maps like normal estimation and outlier removal. We show how knowledge about the distribution of\r\nnoise in the input data can be effectively used for improving\r\npoint clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image-desk", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1710, "image_height": 1406, "name": "reisner-2011-comdm-image-desk.png", "type": "image/png", "size": 2527631, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 228 ], "booktitle": "IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV 2011)", "lecturer": [ 847 ], "location": "Barcelona", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image-desk", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1710, "image_height": 1406, "name": "reisner-2011-comdm-image-desk.png", "type": "image/png", "size": 2527631, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png" }, { "description": "", "filetitle": "image-markers", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2416, "image_height": 1785, "name": "reisner-2011-comdm-image-markers.png", "type": "image/png", "size": 2681070, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-comdm-poster.pdf", "type": "application/pdf", "size": 3374994, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-comdm-preprint.pdf", "type": "application/pdf", "size": 4910482, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/", "__class": "Publication" }, { "id": "reisner-2011-akgeo", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Reconstructing Buildings as Textured Low Poly Meshes from Point Clouds and Images", "date": "2011-04", "abstract": "Current urban building reconstruction techniques rely mainly on data gathered from either laser scans or image-\nbased approaches, and do usually require a large amount of manual post-processing and modeling. Difficulties arise due to erroneous and noisy data, and due to the huge amount of information to process. We propose a system that helps to overcome these time-consuming steps by automatically generating low-poly 3D building models. This is achieved by taking both information from point clouds and image information into account, exploiting the particular strengths and avoiding the relative weaknesses of these data sources: While the segmented point cloud is used to identify the dominant planar surfaces in 3D space, the images are used to extract accurate edges, fill holes and generate textured polygonal meshes of urban buildings.", "authors_et_al": false, "substitute": null, "main_image": { "description": "clustering surface normals", "filetitle": "image-normals", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 500, "name": "reisner-2011-akgeo-image-normals.png", "type": "image/png", "size": 520021, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 659, 678 ], "booktitle": "Eurographics 2011 - Short Papers", "editor": "Nick Avis and Sylvain Lefebvre", "lecturer": [ 847 ], "location": "Llandudno, UK", "pages_from": "17", "pages_to": "20", "research_areas": [ "Modeling" ], "keywords": [ "Modeling packages", "Computational Geometry and Object Modeli" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image-library", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3114, "image_height": 760, "name": "reisner-2011-akgeo-image-library.png", "type": "image/png", "size": 1954691, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library:thumb{{size}}.png" }, { "description": "clustering surface normals", "filetitle": "image-normals", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 500, "name": "reisner-2011-akgeo-image-normals.png", "type": "image/png", "size": 520021, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-akgeo-paper.pdf", "type": "application/pdf", "size": 701519, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/", "__class": "Publication" }, { "id": "reisner-2010-ind", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive reconstruction of industrial sites using parametric models", "date": "2010-05", "abstract": "We present a new interactive modeling technique for reconstructing\n3D objects from multiple images. We specifically address the\nproblems that arise in industrial environments during camera orientation,\nimage segmentation and modeling. An accurate camera\norientation is ensured by using coded markers and surveyed points\nfrom a total station. Interactive segmentations of edges and regions\nin the images are used as input for fitting parametric models to the\nscene. We provide an intuitive interface which allows modeling artificial\nobjects without having extensive knowledge about 3D modeling\nor photogrammetry.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1178, "image_height": 867, "name": "reisner-2010-ind-image.png", "type": "image/png", "size": 967045, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 204, 190 ], "booktitle": "Proceedings of 26th Spring Conference on Computer Graphics (SCCG 2010)", "date_from": "2010-05-13", "date_to": "2010-05-15", "editor": "Helwig Hauser , Reinhard Klein", "isbn": "978-80-223-2644-5", "lecturer": [ 847 ], "location": "Budmerice, Slovak Republic", "pages_from": "119", "pages_to": "126", "publisher": "Comenius University, Bratislava", "research_areas": [ "Modeling" ], "keywords": [ "multi-view reconstruction", "model fitting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1178, "image_height": 867, "name": "reisner-2010-ind-image.png", "type": "image/png", "size": 967045, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2010-ind-paper.pdf", "type": "application/pdf", "size": 4382037, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/", "__class": "Publication" }, { "id": "reisner-2010-1dh", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "3D Camera Pose Estimation using Line Correspondences and 1D Homographies", "date": "2010", "abstract": "This paper describes a new method for matching line segments\r\nbetween two images in order to compute the relative camera pose.\r\nThis approach improves the camera pose for images lacking stable point\r\nfeatures but where straight line segments are available. The line matching\r\nalgorithm is divided into two stages: At first, scale-invariant feature\r\npoints along the lines are matched incorporating a one-dimensional homography.\r\nThen, corresponding line segments are selected based on the\r\nquality of the estimated homography and epipolar constraints. Based on\r\ntwo line segment correspondences the relative orientation between two\r\nimages can be calculated.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1122, "image_height": 1496, "name": "reisner-2010-1dh-image.png", "type": "image/png", "size": 1381437, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 879, 190 ], "booktitle": "Advances in Visual Computing: 6th International Symposium on Visual Computing (ISVC 2010)", "date_from": "2010-11-29", "date_to": "2010-12-01", "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud, R.; Hussain, M.; Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L.", "isbn": "978-3-642-17273-1", "lecturer": [ 847 ], "location": "Las Vegas, Nevada, USA", "pages_from": "41", "pages_to": "52", "publisher": "Springer", "series": "Lecture Notes in Computer Science", "research_areas": [], "keywords": [ "pose estimation", "line matching" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1122, "image_height": 1496, "name": "reisner-2010-1dh-image.png", "type": "image/png", "size": 1381437, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2010-1dh-paper.pdf", "type": "application/pdf", "size": 5076800, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "scalespace", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 810, "image_height": 320, "name": "reisner-2010-1dh-scalespace.png", "type": "image/png", "size": 61107, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/", "__class": "Publication" } ]