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Efficient BRDF Sampling Using Projected Deviation Vector Parameterization
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
This paper presents a novel approach for efficient sampling of isotropic Bidirectional Reflectance Distribution Functions (BRDFs). Our approach builds upon a new parameterization, the Projected Deviation Vector parameterization, in which isotropic BRDFs can be described by two 1D functions. We show that BRDFs can be efficiently and accurately measured in this space using simple mechanical measurement setups. To demonstrate the utility of our approach, we perform a thorough numerical evaluation
doi:10.1109/iccvw.2017.26
dblp:conf/iccvw/TongbuasirilaiU17
fatcat:2ejlvf5ujbektcjq5dmitbhaa4