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SVBRDF-Invariant Shape & Reflectance Estimation From Light-Field Cameras
CVPR 2016 | We derive a spatially-varying (SV) BRDF-invariant theory for recovering 3D shape and reflectance from light-field cameras. Our key theoretical insight is a novel analysis of diffuse plus single-lobe SVBRDFs under a light-field setup. We show that although direct shape recovery is not possible, an equation relating depths and normals can still be derived. Using this equation, we then propose using a polynomial (quadratic) shape prior to resolve the shape ambiguity. Once shape is estimated, we also recover the reflectance.
Collaborators: Ting-Chun Wang, Manmohan Chandraker, Alexei Efros, Ravi Ramamoorthi
