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...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.展开更多
基金partly supported by JSPS KAKENHI JP15K16027,JP26700013,JP15H05918,JP19H04138,JST CREST JP179423the Foundation for Nara Institute of Science and Technology.
文摘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.
