Automatic corner detection and localization for camera calibration

摘要：

Automatic control points detection and localization is the precondition to realize camera calibration without manual aids. A novel corner detection and localization strategy is proposed in this paper, which can automatically detect and locate the corners in a chessboard pattern. A Hessian matrix detector with self-adaptive threshold is proposed to obtain the initial corners without supplied information of rows and columns number. Then symmetry constraint and a statistic technique are used to eliminate the blobs and resist the tanglesome background successfully. The whole pattern localization, which greatly reduces the computation load, is obtained by a homography method based on four automatically identified extremum corners. The proposed method has few restrictions on the chessboard image due to the above techniques. The comparison results with other traditional methods demonstrate the predominance of the proposed method, as a valuable tool for camera calibration.

关键词： automatic camera calibration chessboard pattern corner detection self-adaptive threshold sub-pixel precision pattern localization.

作者: He Juan Xia Junying Xu Xiaoquan Zhang Qi

作者单位: College of Mechatronic Engineering and Automation,National University of Defense Technology Changsha 410073,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1412-1415

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）