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Exploring Ambiguities for Monocular Non-rigid Shape Estimation

  • Francesc Moreno-Noguer
  • Josep M. Porta
  • Pascal Fua
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6313)

Abstract

Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear combinations of deformation modes and by imposing additional geometric constraints. Unfortunately, because image measurements are noisy, such constraints do not always guarantee that the correct shape will be recovered. To overcome this limitation, we introduce an efficient approach to exploring the set of solutions of an objective function based on point-correspondences and to proposing a small set of candidate 3D shapes. This allows the use of additional image information to choose the best one. As a proof of concept, we use either motion or shading cues to this end and show that we can handle a complex objective function without having to solve a difficult non-linear minimization problem.

Keywords

Reconstruction Error Reprojection Error Mesh Edge Wave Sequence Candidate Shape 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Francesc Moreno-Noguer
    • 1
  • Josep M. Porta
    • 1
  • Pascal Fua
    • 2
  1. 1.Institut de Robòtica i Informàtica IndustrialCSIC-UPCBarcelonaSpain
  2. 2.Computer Vision LaboratoryEPFLLausanneSwitzerland

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