Advanced Importance Sampling Techniques for Virtual Ray Lights

Information

• Publication Type: Master Thesis
• Workgroup(s)/Project(s):
  • Rendering and Modeling
• Date: 2023
• Date (Start): November 2018
• Date (End): 17. April 2023
• Diploma Examination: 17. April 2023
• Open Access: yes
• First Supervisor: Michael Wimmer
• Pages: 109
• Keywords: global illumination, virtual point lights, virtual ray lights, ray tracing

Abstract

This thesis provides new importance sampling techniques for Virtual Ray Lights forRendering Scenes in Participating Media. We will discuss the foundations of rendering scenes with participating media first, to get an understanding of this topic. Furthermore, we will provide an overview of different approaches that can be used for the rendering of these scenes. Virtual Ray Lights is an algorithm that traces light rays from the light source through the scene, which are then evaluated individually for each camera ray. Importance sampling is used on both rays to get a samples for each ray for which their contribution can be calculated. As a solid understanding of the original algorithm is needed to understand the newapproaches that we introduce, a focus is laid on explaining the mathematical foundations of the approach. We highlight the shortcomings that we found for rendering anisotropic participating media and introduce our solutions to solve them more efficiently. We provide two different solutions to the problem that we evaluated in the originalalgorithm. Our solutions are explained mathematically, via pseudo code and are evaluated with a multitude of tests. The goal of this thesis is to provide new, simple, robust and fast solutions to rendering scenes with anisotropic participating media.

Additional Files and Images

Weblinks

• Entry in reposiTUm (TU Wien Publication Database)
• DOI: 10.34726/hss.2023.111460

BibTeX

@mastersthesis{oppitz-2023-ais,
  title =      "Advanced Importance Sampling Techniques for Virtual Ray
               Lights",
  author =     "Michael Oppitz",
  year =       "2023",
  abstract =   "This thesis provides new importance sampling techniques for
               Virtual Ray Lights forRendering Scenes in Participating
               Media. We will discuss the foundations of rendering scenes
               with participating media first, to get an understanding of
               this topic. Furthermore, we will provide an overview of
               different approaches that can be used for the rendering of
               these scenes. Virtual Ray Lights is an algorithm that traces
               light rays from the light source through the scene, which
               are then evaluated individually for each camera ray.
               Importance sampling is used on both rays to get a samples
               for each ray for which their contribution can be calculated.
               As a solid understanding of the original algorithm is needed
               to understand the newapproaches that we introduce, a focus
               is laid on explaining the mathematical foundations of the
               approach. We highlight the shortcomings that we found for
               rendering anisotropic participating media and introduce our
               solutions to solve them more efficiently. We provide two
               different solutions to the problem that we evaluated in the
               originalalgorithm. Our solutions are explained
               mathematically, via pseudo code and are evaluated with a
               multitude of tests. The goal of this thesis is to provide
               new, simple, robust and fast solutions to rendering scenes
               with anisotropic participating media.",
  pages =      "109",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien",
  keywords =   "global illumination, virtual point lights, virtual ray
               lights, ray tracing",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/",
}