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        "title": "A Hierarchical Subdivision Algorithm for Stochastic Radiosity Methods",
        "date": "1997-06",
        "abstract": "The algorithm proposed in this paper uses a stochastic approach to incrementally calculate the illumination function over a surface. By tracking the illumination function at different levels of meshing resolution, it is possible to get a measure for the quality of the current representation, and to adoptively subdivide in places with inadequate accuracy. With this technique a hierarchical mesh that is based on the stochastic evaluation of global illumination is generated.",
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        "address": "St. Etienne, France",
        "booktitle": "Eurographics Rendering Workshop 1997",
        "editor": "Julie Dorsey and Philipp Slusallek",
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        "pages_from": "193",
        "pages_to": "204",
        "publisher": "Springer Wien",
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        "title": "A Hierarchical Subdivision Algorithm for Stochastic\n                Radiosity Methods",
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        "abstract": "Stochastic radiosity methods have become a standard tool for\ngenerating global illumination solutions for very large\nscenes. Unfortunately, these methods need scene\ndescriptions that are premeshed to a very fine resolution,\nin order to compute an adequate solution of the global\nillumination. The algorithm proposed in this paper uses a\nstochastic Galerkin approach to incrementally calculate\nthe illumination function. By tracking the illumination\nfunction at different levels of resolution it is possible\nto get a measure for the quality of the representation,\nand thus adaptively subdivide in places with inadequate\naccuracy. With this technique a hierarchical mesh is\ngenerated, that is based on the stochastic evaluation of\n                global illumination.",
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        "title": "A New Stochastic Radiosity Method for Highly Complex Scenes",
        "date": "1995-08",
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        "booktitle": "In Photorealistic Rendering Techniques",
        "editor": "G. Sakas, P. Shirley, S. Müller",
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        "title": "Improving the Visual Quality of Intermediate Radiosity Images",
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        "booktitle": "Proceedings of the 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
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        "location": "Bratislava, Slovakia",
        "note": "TALK: 30.5.1995",
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        "tu_id": null,
        "repositum_id": null,
        "title": "Reducing Shadow Leaks without Explicit Meshing",
        "date": "1995-05",
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        "date_from": "1995-05-29",
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        "location": "Bratislava, Slovakia",
        "note": "TALK: M. Feda 30.5.1995",
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        "id": "feda-1995-spee",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Speeding Up Progressive Radiosity by Overshooting",
        "date": "1995-02",
        "abstract": "",
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        "booktitle": "Proceedings of the Winter School of Computer Graphics and Visualization (WSCG)",
        "date_from": "1995-02-14",
        "date_to": "1995-02-18",
        "location": "Plzen, Czech Republic",
        "note": "TALK: R. Tober",
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    {
        "id": "Neumann-1995-SRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995-01",
        "abstract": "This paper solves the system of radiosity\nequations with a numerical approach rather than\nwith a physical interpretation as most current\nalgorithms do. Due to the high complexity of the\nproblem for highly complex scenes, a stochastic\nvariation of Jacobi iteration is developed which\nconverges stochastically to the correct solution.\nThe new method, called Stochastic Ray Method, is a\nsignificant improvement of Stochastic Radiosity. A\nlarge number of independent rays is chosen\nstochastically by importance sampling of the\npatches according to their power after the previous\niteration step. They all carry an equal amount of\npower into random directions, thereby representing\ntogether the total energy interreflection of the\nentire environment in a stochastic manner.\nAssuming a correctly distributed initial solution,\nwhich can be reached easily, the iteration\nprocess converges quickly and reduces the error\nin the result faster than other stochastic\nradiosity approaches. The new algorithm can\neasily be extended to treat various phenomena which\nare normally rather costly to incorporate in\nradiosity environments: specular reflection and\nspecular transmittance, non-diffuse emission and\n                point light sources.",
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        "number": "TR-186-2-95-3",
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        "id": "feda-1995-car",
        "type_id": "talk",
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        "repositum_id": null,
        "title": "A Monte-Carlo Approach for Galerkin Radiosity",
        "date": "1995",
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        "date_to": "1995-09-18",
        "location": "University of Girona, Spain",
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    {
        "id": "feda-1995-real",
        "type_id": "talk",
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        "title": "Realistic Image Rendering by Higher Order Radiosity",
        "date": "1995",
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        "date_to": "1995-11-21",
        "location": "University of Bristol, UK",
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        "title": "Monte-Carlo Radiosity und Galerkin Radiosity zur Erzeugung photorealistischer Computerbilder",
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        "date_to": "1995-05-18",
        "event": "Fachbereich Informatik",
        "location": "University of Rostock, Deutschland",
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        "title": "Improving Intermediate Radiosity Images Using Directional Light",
        "date": "1995",
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        "booktitle": "Graphics Gems V",
        "editor": "A. Paeth",
        "publisher": "AP Professional",
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        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995",
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        "booktitle": "Rendering Techniques",
        "editor": "P. Hanrahan, W. Purgathofer",
        "location": "Wien, Austria",
        "note": "TALK: M. Feda 13.5.1995",
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        "id": "Feda-1994-FPZ",
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        "title": "Fast Perspective Z-Buffer with Inverse Depths",
        "date": "1994-11",
        "abstract": "This paper presents a way to hold the depth\ninformation in Z-buffers, that allows fast\nincremental computation of Z-buffer depth values.\nThe main idea is to store the inverse depth with\neach pixel value. The incremental depth computation\ncan then be done with a single addition per pixel\n                in a scanline.",
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        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1994-11",
        "abstract": "THIS TECHNICAL REPORT IS OUTDATED AND HAS BEEN SUPERSEDED BY TR-186-2-95-3.\nThis paper presents an efficient radiosity\nalgorithm for highly complex scenes. The new\niteration method, which is based on the Stochastic\nShooting Method, uses ray tracing to implicitly\ncalculate form factors. The variance in the solution\nis reduced by using a self-correcting, stochastically\nconverging iteration formula. The new algorithm can\nbe easily extended to simulate various phenomena\nnormally not found in radiosity environments:\ntransparency, specular reflection and point\n                light-sources.",
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        "title": "Parallel Radiosity on Transputers with Low Communication Overhead",
        "date": "1994-09",
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        "organization": "Hungarian Academy of Science",
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        "title": "A Median Cut Algorithm for Efficient Sampling of Radiosity Functions",
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        "title": "Efficient Realistic Image Synthesis by Parallel Monte Carlo Radiosity on Transputers",
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        "title": "A Collection of Papers of the Institute of Computer\n                Graphics",
        "date": "1994-08",
        "abstract": "This is the first technical report of the Institute of\nComputer Graphics at the Technical University of Vienna.\nIt contains papers published by our research group between\n1992 and 1993 providing an overview of our work during that\n                time.",
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