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	An Accurate Corner Detection Algorithm in the Infrared Image.
	QINSI PENG; LEI NEI; SHUANSHUAN CHEN; ZHAN SONG
	2011
会议名称	3rd International Conference on Computer Technology and Development
会议地点	Chengdu, PEOPLES R CHINA
英文摘要	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 comers. With considering the local symmetry property around the internal corner andthe 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.
收录类别	ISTP
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3362]
专题	深圳先进技术研究院_集成所
作者单位	2011
推荐引用方式 GB/T 7714	QINSI PENG,LEI NEI,SHUANSHUAN CHEN,et al. An Accurate Corner Detection Algorithm in the Infrared Image.[C]. 见:3rd International Conference on Computer Technology and Development. Chengdu, PEOPLES R CHINA.

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