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
Reflections on the Generalized Bas-Relief Ambiguity
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Passive Photometric Stereo from Motion
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
On Optimal Light Configurations in Photometric Stereo
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Can Two Specular Pixels Calibrate Photometric Stereo?
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Photometric Stereo with General, Unknown Lighting
International Journal of Computer Vision
Auto-calibrating photometric stereo using ring light constraints
Machine Vision and Applications
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We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone. This reconstruction is upgraded to Euclidean by constraints derived from lights of equal intensity and multiple view geometry. Compared to previous methods, our algorithm deals with more general data and achieves high accuracy. Another advantage of our method is that we can model weak perspective effects of lighting, while previous methods often assume orthographical illumination. We use both synthetic and real data to evaluate our algorithm. We further build a hardware prototype to demonstrate our approach.