| Publication type: |
Article |
| Author: |
K. Huebner, D. Westhoff, J. Zhang |
| Title: |
Optimized Quantitative Bilateral Symmetry Detection |
| Volume: |
2 |
| Page(s): |
241 – 249 |
| Journal: |
International Journal of Information Acquisition (IJIA) |
| Number: |
3 |
| Year published: |
2005 |
| Abstract: |
In [Westhoff et al., 2005], we proposed a novel method to determine illumination-invariant
features in images. Quantitative bilateral symmetry of a given scene is computed using
Dynamic Programming before applying the resulting symmetry image and feature vector
signatures to an omnidirectional motion tracking task. Compared to other approaches to
symmetry detection in computer vision, results of our novel algorithm describe symmetry
in terms of an absolute region instead of a relative degree. In this paper, we describe further
optimizations and details of the proposed Dynamic Programming Symmetry feature
detection algorithm (DPS algorithm). |
| Internet: |
http://www.worldscinet.com/ijia/ijia.shtml |
| PDF Version: |
http://www.worldscinet.com/ijia/02/0203/S021987890500060X.html |
| Keywords: |
Bilateral Symmetry, Feature Detection, Image Signatures |
| Status: |
Reviewed |
| Last updated: |
08. 11. 2005 |
