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A Quasi Linear Reconstruction Method from Multiple Perspective Views

Stéphane Christy 1, 2 Radu Horaud 1, 2 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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.
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Submitted on : Thursday, May 5, 2011 - 9:13:21 AM
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Stéphane Christy, Radu Horaud. A Quasi Linear Reconstruction Method from Multiple Perspective Views. IEEE International Conference on Intelligent Robots and Systems (IROS '95), Aug 1995, Pittsburgh, United States. pp.374--380, ⟨10.1109/IROS.1995.526244⟩. ⟨inria-00590051⟩



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