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Real‐Time Defocus Rendering With Level of Detail and Sub‐Sample Blur
Authors:Yuna Jeong  Kangtae Kim  Sungkil Lee
Affiliation:Sungkyunkwan University, , Suwon, Republic of Korea
Abstract:This paper presents a GPU‐based rendering algorithm for real‐time defocus blur effects, which significantly improves the accumulation buffering. The algorithm combines three distinctive techniques: (1) adaptive discrete geometric level of detail (LOD), made popping‐free by blending visibility samples across the two adjacent geometric levels; (2) adaptive visibility/shading sampling via sample reuse; (3) visibility supersampling via height‐field ray casting. All the three techniques are seamlessly integrated to lower the rendering cost of smooth defocus blur with high visibility sampling rates, while maintaining most of the quality of brute‐force accumulation buffering.
Keywords:defocus blur  depth‐of‐field rendering  level of details  GPU  real‐time rendering  I  3  3 [Computer Graphics]: Picture/Image Generation–  Display Algorithms
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