BRDF reconstruction, multi-view stereo (MVS), photogrammetry, rendering
In this paper, we present a practical methodfor reconstructing the bidirectional reflectance distribu-tion 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.
Tsinghua University Press
Taishi Ono, Hiroyuki Kubo, Kenichiro Tanaka et al. Practical BRDF reconstruction using reliable geometric regions from multi-view stereo. Computational Visual Media 2019, 05(04): 325-336.