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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") .