Abstract
Affine-invariant feature vector, which captures local and semi-local features, was used in the detection of skewed symmetries. Here, the problem of symmetry axes detection has been formulated as a line detection problem, with known orientations within a local similarity matrix computed for a shape. Moreover, our technique allows all the local reflection-symmetries within an object to be detected. Experiments on detecting skewed symmetries of self-symmetric objects and generalized objects, under noises and occlusions, have demonstrated the effectiveness of this method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Pages | 1010-1013 |
| Number of pages | 4 |
| Volume | 15 |
| Edition | 3 |
| Publication status | Published - 2000 |
| Externally published | Yes |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Hardware and Architecture
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Cite this
Shen, D., Ip, H. H. S., & Teoh, E. K. (2000). Robust detection of skewed symmetries. In Proceedings - International Conference on Pattern Recognition (3 ed., Vol. 15, pp. 1010-1013)