东南大学学报（自然科学版）2012，Vol.42Issue(2)：265-269,5.DOI:10.3969/j.issn.1001-0505.2012.02.014
一种鲁棒的二进制图像特征点描述子
Robust binary feature point descriptor
摘要
Abstract
In order to improve the speed of feature point matching, a binary method is used to generate feature point description, and the descriptor' s adaptability to different scales and rotations is improved. The descriptor is computed using intensity difference tests. The descriptor similarity is evaluated by using Hamming distance, and the time performance of the algorithm is improved by binary operation. The Wall and Graffiti image sets as well as their transformed image sets are used to test the performance of the proposed algorithm for the different perspectives, rotations and scales. The matching accuracies on each image set are obtained. The comparison results of the proposed algorithm and the speeded up robust feature (SURF) algorithm show that during the feature point matching between the two images, the construction time and the matching time of the descriptors of the proposed algorithm are 1 043. 67 and 4 313.36 ms, respectively, while the corresponding data of the SURF algorithm are 3 950.34 and 9 951. 03 ms, indicating that the time characteristics of the proposed algorithm are better than those of the SURF algorithm. In addition, on most image sets, the matching accuracy of the proposed algorithm is higher than that of the SURF algorithm.关键词
特征点/特征匹配/SURF算法Key words
feature point/ feature matching/ speeded up robust feature (SURF) algorithm分类
信息技术与安全科学引用本文复制引用
王颖,王爱民..一种鲁棒的二进制图像特征点描述子[J].东南大学学报（自然科学版）,2012,42(2):265-269,5.基金项目
国家高技术研究发展计划(863计划)资助项目(2009AA01Z311). （863计划）
