A $$L^1$$-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings

DOI10.1007/978-3-319-18461-6_40zbMath1444.68262OpenAlexW2407533521MaRDI QIDQ3300332

Yvain Quéau, Jean-Denis Durou, François Lauze

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18461-6_40

zbMATH Keywords

total variationperspective projectionproximal methodsspatially-varying lightingsuncalibrated photometric stereo

Mathematics Subject Classification ID

Applications of optimal control and differential games (49N90) Machine vision and scene understanding (68T45) Computational issues in computer and robotic vision (65D19)

Related Items (2)

Optimisation of classic photometric stereo by non-convex variational minimisation ⋮ A Single-Lobe Photometric Stereo Approach for Heterogeneous Material

Cites Work

• A closed-form, consistent and robust solution to uncalibrated photometric stereo via local diffuse reflectance maxima
• An algorithm for total variation minimization and applications
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Fast dual minimization of the vectorial total variation norm and applications to color image processing
• Solving uncalibrated photometric stereo using total variation
• A Direct Differential Approach to Photometric Stereo with Perspective Viewing
• The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory
• The Split Bregman Method for L1-Regularized Problems
• Direct analytical methods for solving Poisson equations in computer vision problems
• An Iterative Regularization Method for Total Variation-Based Image Restoration

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