Title: Vision and Lie's approach to invariance
Authors: Van Gool, Luc ×
Moons, Theodoor
Pauwels, Eric
Oosterlinck, André #
Issue Date: May-1995
Publisher: Butterworth-heinemann ltd
Series Title: Image and vision computing vol:13 issue:4 pages:259-277
Abstract: The application of invariance theory has gained a. renewed interest in the computer vision community. Recent results show that it offers a strong, unifying framework that helps in tackling problems such as calibration-less vision, efficient matching, shape-from-motion, grouping, and several other problems considered crucial to intelligent vision. Nonetheless, a systematic approach to the problem of extracting invariants is far from trivial. This paper describes one such approach, the theory of Lie groups. After a concise and non-rigorous account on the method itself, typical problems that arise in vision are discussed. For each of these problems, one or more relevant examples are given.
ISSN: 0262-8856
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Electrical Engineering - miscellaneous
ESAT - PSI, Processing Speech and Images
Centre for Student Support and Learning Development, Faculty of Economics and Business (-)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science