A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination for computer generated pictures
Communications of the ACM
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appying Shape from Lighting Variation to Bump Map Capture
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Shape and albedo from multiple images using integrability
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recovering 3-D shape and reflectance from a small number of photographs
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
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
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Design Issues for a Colour Photometric Stereo System
Journal of Mathematical Imaging and Vision
Estimating Cast Shadows using SFS and Class-based Surface Completion
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present an optimal generalisation of the 4-light photometric stereo technique for an arbitrary number of Q illuminants. We assume that the surface reflectance can be approximated by the Lambertian model plus a specular reflection. The algorithm works in a recursive manner eliminating the pixel intensities affected by shadows or highlights, based on a least squares error technique, retaining only the information coming from illumination directions that can be used for photometric stereo reconstruction of the normal of the corresponding surface patch. We report results for both simulated and real surfaces and compare them with the results of other state of the art photometric stereo algorithms.