The Algorithm for Generating Ambient Occlusion Maps Based on the Differential Algorithm
DOI:
https://doi.org/10.62051/ijcsit.v2n1.17Keywords:
Differential Algorithm; Normal Map; Ambient Occlusion Map; PBRAbstract
This paper introduces an algorithm for generating ambient occlusion maps based on the differential algorithm, aiming to enhance the environmental occlusion effects in graphic rendering through advanced computational techniques. The algorithm is inspired by the principles of the differential algorithm and the lighting information stored in normal maps. By inputting a differential step size, it cleverly samples and computes the gradient information of the normal map, resulting in the generation of high-quality ambient occlusion maps. The unique advantage of the algorithm lies in its sensitivity to lighting information and its flexible application of the differential step size. By effectively capturing subtle gradient variations in the normal map, it provides a more realistic and refined effect for the final physically based rendering (PBR) material graphics rendering.
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References
Landis H. Production-ready global illumination[J]. Siggraph course notes, 2002, 16(2002): 11.
Bredow R, Imageworks S P. Renderman on film[J]. SIGGRAPH 2002 Course 16 notes, RenderMan in Production, 2002.
Bavoil L, Sainz M, Dimitrov R. Image-space horizon-based ambient occlusion[M]//ACM SIGGRAPH 2008 talks. 2008: 1-1.
Bavoil L, Sainz M. Multi-layer dual-resolution screen-space ambient occlusion[M]//SIGGRAPH 2009: Talks. 2009: 1-1.
ZUCKER SW, LANGER MS. SHAPE-FROM-SHADING ON A CLOUDY DAY[J]. 467-478,1994,11(2):467-478.
Prados E, Jindal N, Soatto S. A non-local approach to shape from ambient shading[C]//International Conference on Scale Space and Variational Methods in Computer Vision. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009: 696-708.
Park S, Baek N. A Corner-Highlighting Method for Ambient Occlusion[J]. Applied Sciences-Basel, 2021, 11(7): 3276.
Engel D, Ropinski T. Deep Volumetric Ambient Occlusion[J]. IEEE Transactions on Visualization and Computer Graphics, 2021, 27(2): 1268-1278.
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