On Overparametrized Variational Methods for Photometric ProblemsMS57

In this talk several methods for Photometric Depth Reconstruction will be surveyed, with particular emphasis on variational methods that were proposed in conjunction with over-parametrized models for the 3D surfaces. The over-parametrized modeling has provided several successful methods in other computer vision and image processing problems, such as motion analysis and image denoising, hence we shall argue that it should be applied to a wider range of 3D from images problems.

This presentation is part of Minisymposium “MS57 - Recent Trends in Photometric 3D-reconstruction (2 parts)
organized by: Jean-Denis Durou (IRIT, Université de Toulouse) , Maurizio Falcone (Dipartimento di Matematica, Università di Roma "La Sapienza") .

Alfred Bruckstein (Technion, Israel Institute of Technology)
computer vision, inverse problems, photometric stereo, shape-from-shading