Skip to Main content Skip to Navigation
New interface
Conference papers

Differential Matching Constraints

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 : We introduce a finite difference expansion for closely spaced cameras in projective vision, and use it to derive differential analogues of the finite-displacement projective matching tensors and constraints. The results are simpler, more general and easier to use than Astrom & Heyden's time-derivative based `continuous time matching constraints'. We suggest how to use the formalism for `tensor tracking'-propagation of matching relations against a fixed base image along an image sequence. We relate this to non-linear tensor estimators and show how `unwrapping the optimization loop' along the sequence allows simple `linear n point' update estimates to converge rapidly to statistically near-optimal, near-consistent tensor estimates as the sequence proceeds. We also give guidelines as to when difference expansion is likely to be worthwhile as compared to a discrete approach.
Document type :
Conference papers
Complete list of metadata
Contributor : THOTH Team Connect in order to contact the contributor
Submitted on : Monday, December 20, 2010 - 8:43:10 AM
Last modification on : Friday, February 4, 2022 - 3:33:53 AM
Long-term archiving on: : Monday, March 21, 2011 - 2:53:45 AM




Bill Triggs. Differential Matching Constraints. 7th International Conference on Computer Vision (ICCV '99), Sep 1999, Kerkyra, Greece. pp.370--376, ⟨10.1109/ICCV.1999.791244⟩. ⟨inria-00548310⟩



Record views


Files downloads