JOURNAL ARTICLE

<title>Robust object recognition using symmetry</title>

Nicholas P. WalmsleyK.M. Curtis

Year: 1994 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2308 Pages: 581-590   Publisher: SPIE

Abstract

This paper describes an object recognition technique based on the concept of local symmetry. A technique is described which can detect 1D features under situations of extreme low contrast. The effectiveness of the technique is shown through application to DNA autoradiographs. The technique is then expanded so that 2D objects can be located and then recognized. In the 2D case the resulting output of the technique is a locus which can be compared to those in a database. It is further shown how the technique is robust against changes in both scale and orientation.

Keywords:
Computer science Artificial intelligence Cognitive neuroscience of visual object recognition Automatic target recognition Computer vision Symmetry (geometry) Object (grammar) Pattern recognition (psychology) Mathematics Geometry Synthetic aperture radar

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Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Fractal and DNA sequence analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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