A Novel Method of Corner Detection for Multicolor Pseudo-random Encoded Image

A novel method of corner detection for multicolor pseudo-random encoded image is proposed. With this method, the unique window characteristics of pseudo-random array pattern is extended to multicolor images, and by using quadratic curve fitting to pixel gray level around the feature point and solving its extreme value, the sub-pixel location of corner in multicolor pseudo-random code can be implemented.
3D measurement Pseudo-random array Corner detection Sub-pixel location
Chen Hui Ma Shiwei
School of Mechatronic Engineering & Automation,Shanghai University,Shanghai Key Laboratory of Power Station Automation Technology,Shanghai,200072,China
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)