Ridge's corner detection and correspondence

Erez Shilat; Michael Werman; Yoram Gdalyahu

Ridge's corner detection and correspondence

Erez Shilat^*, Michael Werman, Yoram Gdalyahu

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Conference article › peer-review

26 Scopus citations

Abstract

Traditionally, corners are found along step edges. In this paper, we present an alternative approach - corners along ridges/troughs and local minima points. These features seem to be more reliable for tracking. A new approach for sub-pixel localization of these corners is suggested, using a local approximation of the image surface.

Original language	English
Pages (from-to)	976-981
Number of pages	6
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
State	Published - 1997
Event	Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA Duration: 17 Jun 1997 → 19 Jun 1997

Cite this

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title = "Ridge's corner detection and correspondence",

abstract = "Traditionally, corners are found along step edges. In this paper, we present an alternative approach - corners along ridges/troughs and local minima points. These features seem to be more reliable for tracking. A new approach for sub-pixel localization of these corners is suggested, using a local approximation of the image surface.",

author = "Erez Shilat and Michael Werman and Yoram Gdalyahu",

year = "1997",

language = "אנגלית",

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journal = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

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note = "Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 17-06-1997 Through 19-06-1997",

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AU - Shilat, Erez

AU - Werman, Michael

AU - Gdalyahu, Yoram

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AB - Traditionally, corners are found along step edges. In this paper, we present an alternative approach - corners along ridges/troughs and local minima points. These features seem to be more reliable for tracking. A new approach for sub-pixel localization of these corners is suggested, using a local approximation of the image surface.

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SN - 1063-6919

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JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

T2 - Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Y2 - 17 June 1997 through 19 June 1997

ER -

Ridge's corner detection and correspondence

Abstract

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