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1 MOVI - Modeling, localization, recognition and interpretation in computer vision GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71 2 LIFIA - Laboratoire d-Informatique Fondamentale et d-Intelligence Artificielle

Abstract : In this paper we describe a method for solving the Euclidean reconstruction problem with a perspective camera model by incrementally performing an Euclidean reconstruction with a weak perspective camera model. With respect to other methods that compute shape and motion from a sequence of images with a calibrated perspective camera, this method converges in a few iterations, is compositionally efficient, and does not suffer from the nonlinear nature of the problem. With respect to factorization and-or affine-invariant methods, this method solves for the sign reversal ambiguity in a very simple way and provides much more accurate reconstructions results.

Keywords : computational complexity convergence image reconstruction image sequences iterative methods motion estimation

Autor: Stéphane Christy - Radu Horaud -

Fuente: https://hal.archives-ouvertes.fr/


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