Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
441874 | Computers & Graphics | 2006 | 9 Pages |
Abstract
We introduce an uncertainty model for geometric transformations that can be used in computer vision as well as interactive computer graphics. The model is based on polygonal uncertainty regions, transformation polytopes and their consensus sets. The most important result of this paper is that the RANSAC algorithm can be placed in a broader framework of search algorithms that look for good parameter uncertainty polytopes. To guide the search, each polytope has a consensus set whose size is a measure for its quality.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Graphics and Computer-Aided Design
Authors
Peter Veelaert, Kristof Teelen,