Robust Image Matching with Selected SIFT Descriptors

摘要：

A robust image matching algorithm using a set of selected SIFT descriptors is investigated in this work. We first utilize the colorbased segmentation method and the watershed algorithm to separate foreground and background regions in images and then search the corresponding SIFT descriptors along foreground contours. These selected SIFT descriptors can offer more robust and stable image matching results. Furthermore, we reduce the dimension of SIFT descriptors using the skeleton pruning technique that eliminates unessential key points. It is demonstrated by experimental results that the image matching algorithm with the proposed selected SIFT descriptors outperforms the classical SIFT-based image matching algorithm by a significant margin.

作者: Jingwei Wang Seongho Cho C.-C. Jay Kuo

作者单位: Ming Hsieh Department of Electrical Engineering University of Southern California, Los Angeles, CA 9 Ming Hsieh Department of Electrical EngineeringUniversity of Southern California, Los Angeles, CA 90

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-4

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）