Corner detection based on gradient correlation matrices of planar curves

Zhang, XH, Wang, HX, Smith, AWB, Ling, X, Lovell, BC and Yang, D (2010) Corner detection based on gradient correlation matrices of planar curves. Pattern Recognition, 43 4: 1207-1223. doi:10.1016/j.patcog.2009.10.017

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Author Zhang, XH
Wang, HX
Smith, AWB
Ling, X
Lovell, BC
Yang, D
Title Corner detection based on gradient correlation matrices of planar curves
Journal name Pattern Recognition   Check publisher's open access policy
ISSN 0031-3203
Publication date 2010-04
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.patcog.2009.10.017
Volume 43
Issue 4
Start page 1207
End page 1223
Total pages 17
Place of publication Kidlington, United Kingdom
Publisher Pergamon
Collection year 2011
Language eng
Abstract An efficient and novel technique is developed for detecting and localizing corners of planar curves. This paper discusses the gradient feature distribution of planar curves and constructs gradient correlation matrices (GCMs) over the region of support (ROS) of these planar curves. It is shown that the eigen-structure and determinant of the GCMs encode the geometric features of these curves, such as curvature features and the dominant points. The determinant of the GCMs is shown to have a strong corner response, and is used as a "cornerness" measure of planar curves. A comprehensive performance evaluation of the proposed detector is performed, using the ACU and localization error criteria. Experimental results demonstrate that the GCM detector has a strong corner position response, along with a high detection rate and good localization performance. © 2009 Elsevier Ltd. All rights reserved.
Keyword Corner detection
Gradient correlation matrix
Planar curves
Region of support
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 1 November 2009.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 35 times in Scopus Article | Citations
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Created: Sun, 14 Mar 2010, 00:01:17 EST