Autocalibration itérative de caméras à partir de structures planes

Eric Noirfalise 1 Frédéric Jurie 2 Peter Sturm 3
2 image
LASMEA - Laboratoire des sciences et matériaux pour l'électronique et d'automatique
3 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 present an iterative algorithm for camera autocalibration from five or more views of an unknow planar scene. Although our method work provided five views, we aim the particular case of "real time video" autocalibration problems which involves an important number of images. We used a stratified approch to compute a metric reconstruction of camera and scene structure. In a first step, we compute a projective reconstruction of scene structure using planar homography. This intermediate reconstruction is used in a second time in a Kalman Filter which ensure its rectification to recover metric properties.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00525632
Contributor : Peter Sturm <>
Submitted on : Thursday, May 26, 2011 - 10:54:31 AM
Last modification on : Wednesday, June 6, 2018 - 1:22:32 AM
Long-term archiving on : Saturday, August 27, 2011 - 2:22:12 AM

File

orasis.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00525632, version 1

Citation

Eric Noirfalise, Frédéric Jurie, Peter Sturm. Autocalibration itérative de caméras à partir de structures planes. Journées ORASIS, May 2003, Gérardmer, France. pp.157-164. ⟨inria-00525632⟩

Share

Metrics

Record views

408

Files downloads

137