An affine resilient curvature scale-space corner detector
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Lu, Guojun
Murshed, Manzur
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Honolulu, HI, USA
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Abstract
Curvature scale-space (CSS) corner detectors look for curvature maxima or inflection points on planar curves. They use arc-length parameterized curvature. Therefore, they are not robust to affine transformations since the arc-length of a curve is not preserved under affine transformations. However, the affine-length of a curve is relatively invariant to affine transformations. This paper presents an improved CSS corner detector by applying the affine-length parameterized curvature to the CSS corner detection technique. A thorough robustness study has been carried out on a large database considering a wide range of affine transformations.
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2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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1
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© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Subject
Computer vision and multimedia computation
Science & Technology
Acoustics
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
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Awrangieb, M; Lu, G; Murshed, M, An affine resilient curvature scale-space corner detector, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 1, pp. 1233-1236