基于Harris与改进SIFT算法的图像匹配算法OA北大核心CSCDCSTPCD
An image matching algorithm base on Harris and improved SIFT algorithm
提出一种新的Harris与改进SIFT算法相结合的算法.首先用Harris算子提取图像的角点作为特征点,然后采用基于同心圆形窗口的64维向量有效地表征一个特征点.实验结果说明,算法在保持很好匹配率的同时能降低计算复杂度.
A new algorithm based on Harris and the improved algorithm SIFT is developed. In the new algorithm, the corner produced by Harris algorithms are used as the feature points and vectors of 64 dimensions based on a circular window are used to represent the feature points. The experimental results show that the new algorithm reduce the matching time and maintain a relatively good matching precision at the same time.
冯政寿;王美清
福州大学数学与计算机科学学院,福建福州350108福州大学数学与计算机科学学院,福建福州350108
信息技术与安全科学
HarrisSIFT特征描述符图像匹配
Harris SIFT feature descriptor image matching
《福州大学学报（自然科学版）》 2012 (2)
近景摄影测量中的自动图像分割技术
176-180,5
国家自然科学基金资助项目(11071270)福建省自然科学基金资助项目(2010J01328)
评论