We present a pipeline for modeling spatially varying BRDFs (svBRDFs) of planar materials which only requires a mobile phone for data acquisition. With a minimum of two photos under the ambient and point light source, our pipeline produces svBRDF parameters, a normal map and a tangent map for the material sample. The BRDF fitting is achieved via a pixel clustering strategy and an optimization based scheme. Our method is light-weight, easy-to-use and capable of producing high-quality BRDF textures.
Cite
@article{arxiv.1912.00321,
title = {A SVBRDF Modeling Pipeline using Pixel Clustering},
author = {Bo Li and Jie Feng and Bingfeng Zhou},
journal= {arXiv preprint arXiv:1912.00321},
year = {2019}
}