Adaptively Clustered Reflective Shadow Maps

Christoph Weinzierl
Adaptively Clustered Reflective Shadow Maps
[poster] [thesis]

Information

Abstract

The content of this thesis is to extend an existing real-time global illumination technique that uses Virtual Area Lights (VALs) for indirect illumination in combination with point-based shadow maps, so called Imperfect Shadow Maps (ISMs) to generate corresponding soft indirect shadows. A clustering algorithm inspired by k-Means creates VAL-clusters in light space, which are updated on a frame-by-frame basis. In this talk we will present concepts and techniques to eliminate some of the constraints and limitations of the existing solution as well as incorporating new ideas to make the algorithm more robust for larger, more complex and dynamic scenes.

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BibTeX

@mastersthesis{weinzierl_heigl-2017-wh14,
  title =      "Adaptively Clustered Reflective Shadow Maps",
  author =     "Christoph Weinzierl",
  year =       "2017",
  abstract =   "The content of this thesis is to extend an existing
               real-time global illumination technique that uses Virtual
               Area Lights (VALs) for indirect illumination in combination
               with point-based shadow maps, so called Imperfect Shadow
               Maps (ISMs) to generate corresponding soft indirect shadows.
               A clustering algorithm inspired by k-Means creates
               VAL-clusters in light space, which are updated on a
               frame-by-frame basis. In this talk we will present concepts
               and techniques to eliminate some of the constraints and
               limitations of the existing solution as well as
               incorporating new ideas to make the algorithm more robust
               for larger, more complex and dynamic scenes.   ",
  month =      oct,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  keywords =   "VAL, ISM, Virtual Area Lights, Global Illumination,
               Imperfect Shadow Maps",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/",
}