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Communication Dans Un Congrès Année : 2017

Semi-Calibrated Near-Light Photometric Stereo

Résumé

We tackle the nonlinear problem of photometric stereo under close-range pointwise sources, when the intensities of the sources are unknown (so-called semi-calibrated setup). A variational approach aiming at robust joint recovery of depth, albedo and intensities is proposed. The resulting nonconvex model is numerically resolved by a provably conver-gent alternating minimization scheme, where the construction of each subproblem utilizes an iteratively reweighted least-squares approach. In particular, manifold optimization technique is used in solving the corresponding subproblems over the rank-1 matrix manifold. Experiments on real-world datasets demonstrate that the new approach provides not only theoretical guarantees on convergence, but also more accurate geometry.
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Dates et versions

hal-01500216 , version 1 (02-04-2017)

Identifiants

  • HAL Id : hal-01500216 , version 1

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Yvain Quéau, Tao Wu, Daniel Cremers. Semi-Calibrated Near-Light Photometric Stereo. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2017, Kolding, Denmark. ⟨hal-01500216⟩
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