International Journal of Computer Vision
International Journal of Computer Vision
Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Incorporating the Torrance and Sparrow Model of Reflectance in Uncalibrated Photometric Stereo
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Example-Based Photometric Stereo: Shape Reconstruction with General, Varying BRDFs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Can Two Specular Pixels Calibrate Photometric Stereo?
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
EURASIP Journal on Advances in Signal Processing
Hi-index | 0.00 |
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 to be rather troublesome to solve these ambiguities. In this paper, a framework of Binocular Uncalibrated Photometric Stereo (B-UPS) is given for accurate stereo matching for lambertian and non-lambertian objects. It is also shown that the problem of 3D reconstruction with UPS is converted into that of stereo matching with B-UPS. By this conversion, the intractable GBR transformations can be bypassed. In B-UPS, the Orientation-Consistency cue (OC) [1] for distant-lighting condition and Local-Orientation-Consistency (LOC) cue for non-distant lighting condition are used together for stereo matching, where the combination of both cues is made possible by a planar-area detection method based on a pseudo-normal-map segmentation scheme. Excellent matching and reconstruction results for objects with constant and spatial-varying BRDF demonstrate the superiority of B-UPS.