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        "title": "Memory Allocation Strategies for Large Volumetric Data-Sets",
        "date": "2004-12",
        "abstract": "Since the development of medical three dimensional imaging devices\r\nin the 1970s, volumetric data processing has tremendously gained in\r\nimportance. With the growing size of the data-sets, exhausting the\r\ncapabilities of the hardware of its time, methods for efficient\r\nvolumetric data processing have been always a hot topic. In this\r\ndiploma thesis two approaches for processing large volumetric\r\ndata-sets are presented. Both approaches utilize a block volume for\r\nstoring the data. Further data compression and out-of-core\r\nprocessing are incorporated. Efficiency is achieved by processing\r\nonly the required portion of data while omitting the non-related\r\ndata having no effect on the intended result of the algorithm. This\r\nis supported by utilization of the knowledge about access patterns\r\nof the algorithm. Also methods for optimizing the efficiency by\r\nexploiting architectural properties of the computer hardware are\r\npresented.",
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    {
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        "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire",
        "date": "2004-02",
        "abstract": "In general three-dimensional segmentation algorithms assume objects to have connected homogeneous regions.\r\nHowever in some cases objects are defined by a fuzzy boundary surface and consist of an inhomogeneous\r\ninternal structure. In the following a new three-dimensional segmentation technique exploiting the contour\r\ndetection capabilities of live-wire is proposed. The algorithm consists of two basic steps. First contours are\r\noutlined by the user on a small number of planar cross-sections through the object using live-wire. Second the\r\ntraced contours are used for reconstructing the object surface automatically in each slice using live-wire again.\r\nThis user-friendly segmentation algorithm is independent from object topology as the topology is implicitly\r\ndefined during the reconstruction process.",
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        "booktitle": "Journal of WSCG, Vol. 12, Number 2",
        "isbn": "1213-6972",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
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        "number": "2",
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    {
        "id": "knapp-2004-fic",
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        "title": "Final contours",
        "date": "2004",
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        "authors": [
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        "date_from": "2004-01-15",
        "event": "ES WSCG talk",
        "location": "Plzen",
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    },
    {
        "id": "Knapp-2003-SAT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire",
        "date": "2003-03",
        "abstract": "In general three-dimensional segmentation algorithms assume\nobjects to have connected homogeneous regions. However in some\ncases objects are defined by a fuzzy boundary surface and consist\nof an inhomogeneous internal structure. In the following a new\nthree-dimensional segmentation technique exploiting the contour\ndetection capabilities of live-wire is proposed: The algorithm\nconsists of two basic steps. First contours are outlined by the\nuser on a small number of planar cross-sections through the object\nusing live-wire. Second the traced contours are used for\nreconstructing the object surface automatically in each slice\nusing live-wire again. This user-friendly segmentation algorithm\nis independent from object topology as the topology is implicitly\n                 defined during the reconstruction process.",
        "authors_et_al": false,
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        "authors": [
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        ],
        "number": "TR-186-2-03-06",
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        "research_areas": [],
        "keywords": [
            "connectivity graph",
            "image processing",
            "live-wire",
            "segmentation"
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    {
        "id": "kanitsar-2002-Chr",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Christmas Tree Case Study: Computed Tomography as a Tool for Mastering Complex Real World Objects with Applications in Computer Graphics",
        "date": "2002-03",
        "abstract": "We report on using computed tomography (CT) as a model acquisition\ntool for complex objects in computer graphics. Unlike other modeling\nand scanning techniques the complexity of the object is irrelevant in\nCT, which naturally enables to model objects with, for example,\nconcavities, holes, twists or fine surface details. Once the data is\nscanned, one can apply post-processing techniques aimed at its further\nenhancement, modification or presentation. For demonstration purposes\nwe chose to scan a Christmas tree which exhibits high complexity which\nis difficult or even impossible to handle with other\ntechniques. However, care has to be taken to achieve good scanning\nresults with CT. Further, we illustrate the post-processing by means\nof data segmentation and photorealistic as well as non-photorealistic\n\t\t surface and volume rendering techniques.",
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        ],
        "number": "TR-186-2-02-07",
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        "keywords": [
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