Non-parametric modeling and editing for captured SVBRDF
We design a device for capturing SVBRDF data and a series of calibration algorithms. We propose a new interpolation algorithm based on solving Laplace equations with Neumann boundary condition on the 2D concentric squares map for a 2D slice BRDF data at a single view. We propose an efficient SVBRDF reconstruction algorithm based on Kernel Nystrm from sparse spatial BRDF samples, which only requires computing with matrix multiplication. We propose a fast and practical basis BRDFs extraction method based on iterative clustering and linear least squares optimization.
reflectance modeling svbrdf modeling data-driven decomposition