Variational Reflectance Estimation from Multi-view ImagesMS57

In this talk, we will discuss reflectance estimation from a set of multi-view images, assuming known geometry, for relighting purposes. The approach we put forward turns the input images into reflectance maps, through a robust variational method. It can be applied in several lighting configurations: known or unknown, and fixed or image-depending. Experiments on both synthetic and real datasets are carried out to validate the proposed strategy.

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") .

Jean Mélou (IRIT, Université de Toulouse)
computer vision, inverse problems, multi-view, reflectance, shading, variational methods