Illumination Recovery for Realistic Fluid Re-simulation
Previous studies in fluid re-simulation have devoted to reducing computational complexity, and little attention has been paid to realistic aspects. This paper presents a linear approach to estimate illumination from video examples for coherent photorealistic re-simulation. Compared with the previous study of light detection, it couples the reconstructed fluid geometry with surface appearance and linearly estimates illumination parameters, which avoids much higher computational cost from tedious optimization. The parameters in Blinn-Phong shading model (BSM) are recovered hierarchically. Based on fitting the ambient and diffuse components through the particles with lower intensities, reflectance can be clustered from the observations of high-intensity particles surface. We demonstrate its effectiveness for both steps by extensive quantitative and qualitative evaluation through relighting on the fluid surface from ground truth fluid video, as well as from re-simulation. Photorealistic coherently illuminated visual effects consistent with fluid surface geometry are obtained.
KeywordsIllumination Blinn-Phong model Reflectance Fluid re-simulation
We thank Dyntex Dataset to support rich fluid video for our study, and special thanks to the reviewers for their valuable comments and suggestions.
This study was funded by NSFC Grant No. 61672237, 61532002, National High-tech R&D Program of China (863 Program) under Grant 2015AA016404.
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