AN ACCURATE CORNER DETECTION ALGORITHM IN THE INFRARED IMAGE

摘要：

In HCI (Human-Computer Interaction), the camera is often with wide angle lens and the captured image is usually distorted.The infrared image is more blurred than general image, so the contrast and the brightness is lower.In this paper, a cross shape mask is used to get the preliminary chessboard internal corners.And the adaptive threshold is put forward to remove outliers and align the corners. With considering the local symmetry property around the internal, corner and the chessboard line architecture, the final internal corner coordinates with the sub-pixel accuracy can be computed with the Orthogonal Vector.Some traditional algorithms are experimented to show its improvement.

关键词： Corner detection Camera calibration Grid point

作者: QINSI PENG LEI NIE SHUANSHUAN CHEN ZHAN SONG XIAOTING ZHANG

作者单位: Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,China Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,China The Chinese Univ. of Ho

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1302-1306

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）