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Journal of Electronic Imaging

Corner detection using arc length-based angle estimator
Author(s): Shizheng Zhang; Dan Yang; Sheng Huang; Xiaohong Zhang; Ying Qu; Liyun Tu; Zemin Ren
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Paper Abstract

We present a corner-detection method named arc length-based angle estimator (AAE). Different from most of the existing approaches, AAE focuses on employing angle detection for finding corners, because angle is an important measure for discrete curvature. AAE provides a new robust solution to the estimation of the K-cosine. In AAE, the K-cosine estimation issue in the x, y space is considered as the problem of the slope estimations in the s, x and s, y spaces, where s is the arc length. Then, weighted least square fitting is employed to address such a slope estimation issue. Experimental results demonstrate that AAE can achieve promising performance in comparison with some recent state-of-the-art approaches under two commonly used evaluation metrics, namely average repeatability and localization error criteria.

Paper Details

Date Published: 30 November 2015
PDF: 11 pages
J. Electron. Imaging. 24(6) 063010 doi: 10.1117/1.JEI.24.6.063010
Published in: Journal of Electronic Imaging Volume 24, Issue 6
Show Author Affiliations
Shizheng Zhang, Chongqing Univ. College of Computer Science (China)
Dan Yang, Chongqing Univ. (China)
Sheng Huang, Chongqing Univ. (China)
Xiaohong Zhang, Chongqing Univ. (China)
Ying Qu, Chongqing Univ. (China)
Liyun Tu, Chongqing Univ. College of Computer Science (China)
Zemin Ren, Chongqing Univ. of Science and Technology (China)


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