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Beyond Multi-view Stereo: Shading-Reflectance Decomposition

  • Jean MélouEmail author
  • Yvain Quéau
  • Jean-Denis Durou
  • Fabien Castan
  • Daniel Cremers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10302)

Abstract

We introduce a variational framework for separating shading and reflectance from a series of images acquired under different angles, when the geometry has already been estimated by multi-view stereo. Our formulation uses an \(l^1\)-TV variational framework, where a robust photometric-based data term enforces adequation to the images, total variation ensures piecewise-smoothness of the reflectance, and an additional multi-view consistency term is introduced for resolving the arising ambiguities. Optimisation is carried out using an alternating optimisation strategy building upon iteratively reweighted least-squares. Preliminary results on both a synthetic dataset, using various lighting and reflectance scenarios, and a real dataset, confirm the potential of the proposed approach.

Keywords

Reflectance Multi-view Shading Variational methods 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jean Mélou
    • 1
    • 3
    Email author
  • Yvain Quéau
    • 2
  • Jean-Denis Durou
    • 1
  • Fabien Castan
    • 3
  • Daniel Cremers
    • 2
  1. 1.IRIT, UMR CNRS 5505, Université de ToulouseToulouseFrance
  2. 2.Department of InformaticsTechnical University MunichMunichGermany
  3. 3.Mikros ImageLevallois-PerretFrance

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