摘要
提出一种多景近景摄影测量图像特征点匹配算法,并在该算法的基础上形成构建近景图的图像匹配算法。此算法采用Harris角点提取算子等进行特征点提取,可为其分配特征描述符,并且比较各特征提取算子之间的精度。在进行相邻图片的特征比对时,提出一种特征索引算法,提高搜索效率。
This paper resents a great number of colse-range photogrammetry an image feature matching algorithm, based on what an image stitching algorithm can be functioning. In this algorithm, Harris corner detector is used to extract fea- ture points And compare every algorithmic precision each feature point is assigned a feature descriptor. A feature indexing algorithm based on wavelet coefficients is used when comparing features in neighboring images, which increases efficiency in the nearest neighbor searching. Then, a pseudo matching set is divided into inliers and outliers using robust RANSAC algorithm.
出处
《北京测绘》
2013年第5期46-49,共4页
Beijing Surveying and Mapping
关键词
特征点
小波变换k2近邻
图像拼接
feature point
wavelet transformation
k2NN
image stitching
