AN EFFICIENT DUPLICATE IMAGE DETECTION METHOD BASED ON AFFINE-SIFT FEATURE

摘要：

In this paper, we present a novel scheme to tackle the task of near-duplicate image detection. Given two input images, the algorithm based on the refined similarity measure can judge rightly whether two input image are duplicate images or not. The two images are represented with local feature (i.e, Affine-SIFT) in bag of features model. The Affine-SIFT can undergo larger affine distortions than Hessian-Affine and MSER (Maximally Stable Extremal Region). The refined similarity measure exploits the spatial information between two images. The algorithm is demonstrated on some image pairs with scale change, viewpoint change, blur, noise and spatial deformation. The experimental results show that proposed algorithm is more effective than other state-of-the-art duplicate image detection algorithm.

关键词： duplicate detection image matching Affine-SIFT

作者: Yudong Cao Honggang Zhang Yanyan Gao Jun Guo

作者单位: Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunica Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunica Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunica

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 794-797

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）