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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00590051
Contributor : Team Perception <>
Submitted on : Thursday, May 5, 2011 - 9:13:21 AM
Last modification on : Wednesday, April 11, 2018 - 1:56:04 AM
Long-term archiving on : Saturday, August 6, 2011 - 2:29:03 AM

File

00526244.pdf
Publisher files allowed on an open archive

Identifiers

Collections

IMAG | INRIA | UGA

Citation

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⟩

Share

Metrics

Record views

118

Files downloads

141