Research on the SIFT Algorithm in Image Matching
SIFT feature matching algorithm is hot in the field of the currently feature matching research,its matching with the strong ability can deal with the translation,rotation,affine transformation occurring between images,and it also have a stable image feature matching ability to the images filmed at any angle.SIFT algorithm is adopted in this paper,matching feature point through the scale space,calculating the histogram of detecting feature point neighborhood of gradient direction characteristic vector and generation to SIFT eigenvector and the key points similarity measure.From different setting threshold,scale scaling,rotating,noise on the experiment,the experiment result proves this algorithm in the above aspects has good robustness,suitable for mass characteristic database of rapid,accurate matching.
Image Matching SIFT algorithm feature vector scale space
Yuan Cong Xiaorong Chen Yiting Li
University of Shanghai for Science and Technology, Shanghai, 200093, China Infinite Shanghai Communication Terminals Ltd., Shanghai, China
国际会议
台湾
英文
4656-4660
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）