Skip to Main content Skip to Navigation
New interface
Conference papers

Linear Projective Reconstruction from Matching Tensors

Bill Triggs 1 
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 : This paper describes initial work on a family of projective reconstruction techniques that extract projection matrices directly and linearly from matching tensors estimated from image data. The simplest methods use fundamental matrices and epipoles, alternative ones use trilinear tensors. All of the data is treated uniformly, and there is no reliance on ‘privileged' images or tokens. The approach is based on ‘joint image closure relations' — bilinear constraints between the projection matrices and their matching tensors, that express the fact that the latter derive from the former. The performance of the new techniques is quantified and compared with that of several existing methods.
Document type :
Conference papers
Complete list of metadata
Contributor : THOTH Team Connect in order to contact the contributor
Submitted on : Monday, December 20, 2010 - 8:43:56 AM
Last modification on : Friday, February 4, 2022 - 3:30:55 AM
Long-term archiving on: : Monday, March 21, 2011 - 2:58:32 AM


  • HAL Id : inria-00548365, version 1



Bill Triggs. Linear Projective Reconstruction from Matching Tensors. British Machine Vision Conference (BMVC '96), 1996, Edinburgh, United Kingdom. pp.665--674. ⟨inria-00548365⟩



Record views


Files downloads