Practical BRDF reconstruction using reliable geometric regions from multi-view stereo
Taishi Ono, Hiroyuki Kubo, Kenichiro Tanaka, Takuya Funatomi, Yasuhiro Mukaigawa · Computational Visual Media · 2019
In this paper, we present a practical method for reconstructing the bidirectional reflectance distribution function (BRDF) from multiple images of a real object composed of a homogeneous material. The key idea is that the BRDF can be sampled after geometry estimation using multi-view stereo (MVS) techniques. Our contribution is selection of reliable samples of lighting, surface normal, and viewing directions for robustness against estimation errors of MVS. Our method is quantitatively evaluated using synthesized images and its effectiveness is shown via real-world experiments.