摘要
提出了用3个向量描述Harris角点方向特征的方法,该算法首先用Harris角点检测得到特征点,并把SIFT算法中使用的特征描述方法引入到特征点描述中;然后利用欧氏距离对点特征进行匹配;提出一种简单高效的排除错误匹配的方法。该算法对数字城市中序列图像匹配具有光照强度、平移、旋转不变性。实验结果表明,该算法匹配准确率较高,具有实用价值。
Firstly, the Harris corner detector is used to detect corners, a method to describe the direction character of the corners is given and the keypoint descriptor of SIFT （scale invariant feature transform） is introduced in this method. Secondly, Euclidean distance is performed to get exact matching in the corner set. Finally, an easy and effective method to avoid wrong matches is discussed. This method is effective on brightness invariant, movement invariant and rotation invariant in the matching of digital city image sequences. This method is proved to be effective by realistic experiments, and of high practicability.
出处
《中国图象图形学报》
CSCD
北大核心
2009年第3期525-530,共6页
Journal of Image and Graphics
基金
教育部"新世纪优秀人才支持计划"资助
山东省中青年科学家基金项目(2005BS01001)
山东省科技攻关项目(2004GG2005112)
关键词
数字城市
图像匹配
HARRIS角点检测
点特征
SIFT
digital city, image matching, Harris corner detector, point feature, scale invariant feature transform（SIFT）
