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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