| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 421316 | Discrete Applied Mathematics | 2009 | 16 Pages |
Abstract
We present an uncertainty model for geometric transformations based on polygonal uncertainty regions and transformation polytopes. The main contribution of this paper is a systematic approach for the computation of regions of interest for features by using the uncertainty model for affine and projective transformations. The focus is on the solution of transformation problems for geometric primitives, especially lines, so that regions of interest can be computed for corresponding geometric features in distinct images.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Kristof Teelen, Peter Veelaert,