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 - Graphisme, Vision et Robotique, 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.
Type de document :
Communication dans un congrès
IEEE International Conference on Intelligent Robots and Systems (IROS '95), Aug 1995, Pittsburgh, United States. IEEE Computer Society Press, 3, pp.374--380, 1995, Human Robot Interaction and Cooperative Robots. 〈10.1109/IROS.1995.526244〉
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https://hal.inria.fr/inria-00590051
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Soumis le : jeudi 5 mai 2011 - 09:13:21
Dernière modification le : mercredi 11 avril 2018 - 01:56:04
Document(s) archivé(s) le : samedi 6 août 2011 - 02:29:03

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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. IEEE Computer Society Press, 3, pp.374--380, 1995, Human Robot Interaction and Cooperative Robots. 〈10.1109/IROS.1995.526244〉. 〈inria-00590051〉

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