A Region-based Image Matching Combining Global and Local Features
A new approach is presented to match two images in presenting large scale changes.The novelty of our algorithm is a hierarchical matching strategy for global region features and local descriptors,which combines the descriptive power of global features and the discriminative power of local descriptors.To predict the likely location and scale of an object,global features extracted from the segmentation regions is used in the first stage for an efficient region matching.This initial matching can be ambiguous due to the instability and unreliability of global region feature,and therefore in the later stage local descriptors are matched within each region pair to discard false positives and the final matches are filtered by RANSAC.Experiments show the effectiveness and superiority of the proposed method in comparing to other approaches.
image matching RANSAC Affine-SIFT segmentation
Hou Jing Pian Jinxiang Zhang Ying Wang Mingyue
School of Information and Control Engineering,Shenyang Jianzhu University,Shenyang 110168,China Department of Electronic Engineering & Information Science,University of Science and Technology of C
国际会议
沈阳
英文
1868-1872
2012-09-07（万方平台首次上网日期，不代表论文的发表时间）