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Detecting Rotationa...
Detecting Rotational Symmetries using Normalized Convolution
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- Johansson, Björn, 1971- (author)
- Linköpings universitet,Tekniska högskolan,Bildbehandling
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- Knutsson, Hans, 1950- (author)
- Linköpings universitet,Tekniska högskolan,Bildbehandling
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- Granlund, Gösta, 1941- (author)
- Linköpings universitet,Tekniska högskolan,Bildbehandling
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(creator_code:org_t)
- IEEE, 2000
- 2000
- English.
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In: Proceedings of the 15th International Conference on Pattern Recognition,2000. - : IEEE. - 0769507506 ; , s. 496-500 vol.3
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Perceptual experiments indicate that corners and curvature are very important features in the process of recognition. This paper presents a new method to detect rotational symmetries, which describes complex curvature such as corners, circles, star, and spiral patterns. It works in two steps: 1) it extracts local orientation from a gray-scale or color image; and 2) it applies normalized convolution on the orientation image with rotational symmetry filters as basis functions. These symmetries can serve as feature points at a high abstraction level for use in hierarchical matching structures for 3D estimation, object recognition, image database retrieval, etc
Keyword
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- kon (subject category)
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