LSIFT-An Improved SIFT Algorithm with A New Matching Method

摘要：

In terms of the high frequency of mis-match of SIFT method under the strong disturb and complex background, this paper proposes a new matching method based on comparing modulus. According to this method, the eigenvector limit is required at first before the normalization processing, and then, accurate matching pairs between two pictures can be found according to the difference between the modulus of the relative matching pair and that of the most similar one. The result of simulation indicates that the new matching method is of high stability and its matching time is much shorter.

关键词： SIFT algorithm scale space feature vector key-points matching comparing modulus

作者: LI-Lingjun LONG-Xiang

作者单位: College of Information Science & Technology Hainan University Haikou, 570228, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 643-646

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）