| 摘要: |
| 提出了一种基于局部方向分布的角点检测与定位算法.该算法主要由两步组成,首先利用绝对角点能量和相对角点能量进行角点检测,然后使用最小二乘技术拟合支撑像素方向线的交点得到角点的亚像素位置.实验结果表明,相对于常见的角点检测算法,基于局部方向分布的算法不仅具有更高的定位精度,同时对噪音也有较强的鲁棒性. |
| 关键词: 角点检测 角点定位 方向线 局部方向分布 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60575019 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z116 (国家高技术研究发展计划(863)) |
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| Corner Detection and Sub-Pixel Localization Based on Local Orientation Distribution |
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WANG Zhi-Heng,WU Fu-Chao,WANG Xu-Guang
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| Abstract: |
| In this paper, an algorithm for corner detection and localization is proposed based on local orientation distribution (LOD). The algorithm consists of two steps: The first is to detect corners by using the absolute corner energy and the relative corner energy; Then, the detected corners are re-located to sub-pixel accuracy by fitting the intersection of orientation lines of support pixels by the least squares technique. Experimental results show that the LOD-based algorithm can not only provide a higher localization accuracy than most popular detectors, but also has a better performance in resisting noises. |
| Key words: corner detection corner localization orientation line local orientation distribution (LOD) |
