Corner detection using arc length-based angle estimator

Shizheng Zhang; Dan Yang; Sheng Huang; Xiaohong Zhang; Ying Qu; Liyun Tu; Zemin Ren

doi:10.1117/1.JEI.24.6.063010

30 November 2015 Corner detection using arc length-based angle estimator

Shizheng Zhang, Dan Yang, Sheng Huang, Xiaohong Zhang, Ying Qu, Liyun Tu, Zemin Ren

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 6, 063010 (November 2015). https://doi.org/10.1117/1.JEI.24.6.063010

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.

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Shizheng Zhang, Dan Yang, Sheng Huang, Xiaohong Zhang, Ying Qu, Liyun Tu, and Zemin Ren "Corner detection using arc length-based angle estimator," Journal of Electronic Imaging 24(6), 063010 (30 November 2015). https://doi.org/10.1117/1.JEI.24.6.063010

Published: 30 November 2015

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