SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras

Abstract

Light-field cameras have recently emerged as a powerful tool for one-shot passive 3D shape capture. However, obtaining the shape of glossy objects like metals, plastics or ceramics remains challenging, since standard Lambertian cues like photo-consistency cannot be easily applied. In this paper, we derive a spatially-varying (SV)BRDF-invariant theory for… (More)
DOI: 10.1109/CVPR.2016.588

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@article{Wang2016SVBRDFInvariantSA, title={SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras}, author={Ting-Chun Wang and Manmohan Krishna Chandraker and Alexei A. Efros and Ravi Ramamoorthi}, journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2016}, pages={5451-5459} }