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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision “Graphicon”, CEUR"
Authors: Astapov A., Frolov V.A., Galaktionov V.A.
Pyramid HBAO — a Scalable Horizon-based Ambient Occlusion Method
Abstract:
Screen-space Ambient Occlusion (SSAO) methods have become an integral part of the process of calculating global illumination effects in real-time applications. The use of ambient occlusion improves the perception of the geometry of the scene, and also makes a significant contribution to the realism of the rendered image. However, the problems of accuracy and efficiency of algorithms of calculating ambient occlusion remain relevant. Most of the existing methods have similar algorithmic complexity, what makes their use in real-time applications very limited. The performance issues of methods working in the screen space are particularly acute in the current growing spreadness of 4K (3840 x 2160 pixels) resolution of the rendered image. In this paper we provide our own algorithm Pyramid HBAO, which enhances the classic HBAO method by changing its calculation complexity for high resolution.
Keywords:
Ambient Occlusion, realtime rendering, screen space, shading
Publication language: english,  pages: 16 (p. 48-63)
English source text:
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About authors:
  • Astapov Andrew,  orcid.org/0000-0002-6291-3150,  Lomonosov Moscow State University
  • Frolov Vladimir Alexandrovich,  orcid.org/0000-0001-8829-9884KIAM RAS; Московский Государственный Университет имени М.В. Ломоносова
  • Galaktionov Vladimir Alexandrovich,  orcid.org/0000-0001-6460-7539KIAM RAS