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A Method for Registration of 3-D Shapes
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Performance of optical flow techniques
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Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
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Example-Based Photometric Stereo: Shape Reconstruction with General, Varying BRDFs
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Optimal Light Configurations in Photometric Stereo
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Design Issues for a Colour Photometric Stereo System
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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
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photometric stereo for dynamic surface orientations
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Single-shot photometric stereo by spectral multiplexing
ACM SIGGRAPH ASIA 2010 Sketches
Robust photometric stereo via low-rank matrix completion and recovery
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-preserving photometric stereo via depth fusion
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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The analysis of surface and texture details with the help of changes in illumination direction is a key task in 3D shape reconstruction either based on Photometric Stereo, Shape from Shading or Structured Light. This paper presents a novel approach for estimating the optimal illumination directions for the accurate calculation of the surface normals, while minimising the presence of shadows and the reconstructed albedo error. The method regards a sparse representation of the illumination arrangement and estimates the light directions using l"1 optimisation. The Lambertian model is considered and the theoretical development is demonstrated with experimental results.