Steady Corner Detection for Calibration in Underwater Environment

摘要：

Meanshift algorithm has been widely used in the fields of image filtering, image segmentation and object tracking. This article tries using Meanshift algorithm in corner detection. For camera calibration in the underwater environment, the article proposed a corner detection method based on Harris corner detection and Meanshift algorithm. First, calculate the Harris corner and the dot product between the shift vector and gradient vector of the underwater chessboard image, and combine the two characteristics to generate the probability density of right-angle corner measure, then take the Harris corner as the initial value, use the Meanshift algorithm to calculate high-precision corner locations and identify the false corners to remove them. The results of experiments show that the algorithm can achieve sub-pixel precision, and is suitable for calibration of underwater camera.

作者: Yang Guoliang Peng Fuyuan Zhao Kun

作者单位: Electronic and Information Engineering Department,Huazhong University of Science and Technology,Wuhan 430074,China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 99-102

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）