Binocular uncalibrated photometric stereo
作者： Hui Kong , Pengfei Xu , Eam Khwang Teoh
DOI: 10.1007/11919476_29
关键词: Photometric stereo 、 Segmentation 、 3D reconstruction 、 Binocular vision 、 Computer stereo vision 、 Computer vision 、 Artificial intelligence 、 Computer science 、 Iterative reconstruction 、 Stereopsis 、 Image processing
摘要: In Uncalibrated Photometric Stereo (UPS), the surface normals and light sources are determined up to a group of ambiguous Generalized Bas-Relief (GBR) transformations. However, it has been shown by previous works be rather troublesome solve these ambiguities. this paper, framework Binocular (B-UPS) is given for accurate stereo matching lambertian non-lambertian objects. It also that problem 3D reconstruction with UPS converted into B-UPS. By conversion, intractable GBR transformations can bypassed. B-UPS, Orientation-Consistency cue (OC) [1] distant-lighting condition Local-Orientation-Consistency (LOC) non-distant lighting used together matching, where combination both cues made possible planar-area detection method based on pseudo-normal-map segmentation scheme. Excellent results objects constant spatial-varying BRDF demonstrate superiority
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