Robust detection of skewed symmetries

Dinggang Shen, Horace H.S. Ip, Eam Khwang Teoh

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 languageEnglish
Pages (from-to)1010-1013
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume15
Issue number3
Publication statusPublished - 2000
Externally publishedYes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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