Towards full 3D Helmholtz stereovision algorithms

  • Authors:
  • Amaël Delaunoy;Emmanuel Prados;Peter N. Belhumeur

  • Affiliations:
  • INRIA Grenoble and LJK;INRIA Grenoble and LJK;Columbia University

  • Venue:
  • ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
  • Year:
  • 2010

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Abstract

Helmholtz stereovision methods are limited to binocular stereovision or depth maps reconstruction. In this paper, we extend these methods to recover the full 3D shape of the objects of a scene from multiview Helmholtz stereopsis. Thus, we are able to reconstruct the complete three-dimensional shape of objects made of any arbitrary and unknown bidirectional reflectance distribution function. Unlike previous methods, this can be achieved using a full surface representation model. In particular occlusions (self occlusions as well as cast shadows) are easier to handle in the surface optimization process. More precisely, we use a triangular mesh representation which allows to naturally specify relationships between the geometry of a point of the scene and its surface normal. We show how to implement the presented approach using a coherent gradient descent flow. Results and benefits are illustrated on various examples.