International Journal of Computer Vision
Visibility subspaces: uncalibrated photometric stereo with shadows
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Binocular uncalibrated photometric stereo
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
International Journal of Computer Vision
Auto-calibrating photometric stereo using ring light constraints
Machine Vision and Applications
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Lambertian photometric stereo with unknown light source parameters is ambiguous. Provided that the object imaged constitutes a surface, the ambiguity is represented by the group of Generalised Bas-Relief (GBR) transformations. We show that this ambiguity is resolved when specularreflection is present in two images taken under two different light source directions. We identify all configurations of the two directional lights which are singular and show that they can easily be tested for. While previous work used optimisation algorithms to apply the constraints implied by the specular reflectance component, we have developed a linear algorithm to achieve this goal. Our theory can be utilised to construct fast algorithms for automatic reconstruction of smooth glossy surfaces.