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• W2736951491 abstract "This paper tackles the photometric stereo problem in the presence of inaccurate lighting, obtained either by calibration or by an uncalibrated photometric stereo method. Based on a precise modeling of noise and outliers, a robust variational approach is introduced. It explicitly accounts for self-shadows, and enforces robustness to cast-shadows and specularities by resorting to redescending M-estimators. The resulting non-convex model is solved by means of a computationally efficient alternating reweighted least-squares algorithm. Since it implicitly enforces integrability, the new variational approach can refine both the intensities and the directions of the lighting." @default.
• W2736951491 created "2017-07-31" @default.
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• W2736951491 date "2017-07-01" @default.
• W2736951491 modified "2023-10-13" @default.
• W2736951491 title "A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting" @default.
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• W2736951491 doi "https://doi.org/10.1109/cvpr.2017.45" @default.
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