Robust image corner detection based on scale evolution difference of planar curves

Zhang, Xiaohong, Wang, Honxing, Hong, Mingjian, Xu, Ling, Yang, Dan and Lovell, Brian C. (2009) Robust image corner detection based on scale evolution difference of planar curves. Pattern Recognition Letters, 30 4: 449-455. doi:10.1016/j.patrec.2008.11.002

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Author Zhang, Xiaohong
Wang, Honxing
Hong, Mingjian
Xu, Ling
Yang, Dan
Lovell, Brian C.
Title Robust image corner detection based on scale evolution difference of planar curves
Journal name Pattern Recognition Letters   Check publisher's open access policy
ISSN 0167-8655
Publication date 2009-03-01
Sub-type Article (original research)
DOI 10.1016/j.patrec.2008.11.002
Open Access Status
Volume 30
Issue 4
Start page 449
End page 455
Total pages 7
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract In this paper, a new corner detector is proposed based on evolution difference of scale pace, which can well reflect the change of the domination feature between the evolved curves. In Gaussian scale space we use Difference of Gaussian (DoG) to represent these scale evolution differences of planar curves and the response function of the corners is defined as the norm of DoG characterizing the scale evolution differences. The proposed DoG detector not only employs both the low scale and the high one for detecting the candidate corners but also assures the lowest computational complexity among the existing boundary-based detectors. Finally, based on ACU and Error Index criteria the comprehensive performance evaluation of the proposed detector is performed and the results demonstrate that the present detector allows very strong response for corner position and possesses a better detection and localization performance and robustness against noise.
Keyword Corner detection
Difference of Gaussian
Evolution difference
Evolution similarity
Planar curve
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: ERA 2012 Admin Only
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 26 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 03 Sep 2009, 18:35:06 EST by Mr Andrew Martlew on behalf of School of Information Technol and Elec Engineering