ROBUST IMAGE COPY DETECTION USING LOCAL INVARIANT FEATURE
This paper proposes a novel geometric distortion resilient image copy detection scheme based on Scale Invariant Feature Transform (SIFT) detector. By using the SIFT detector, the proposed copy detection scheme first construct a series of robust, homogenous, and larger size circular patches. And then, the cirque track division strategy and ordinal measure concept are introduced to generate a cirque-based ordinal measure feature vector for each circular patch. Besides, the ROC graph and MAP probability are utilized to estimate the two parameters (vector dimension and detection threshold) respectively. Experimental results and the related analysis show that the proposed scheme is robust to most of geometric and photometric distortions.
Multidimensional signal processing Copy detection Feature extraction Robustness
Fuhao Zou Hefei Ling Xiaowei Li Zhihua Xu Ping Li
School of Computer Science&Technology Huazhong University of Scienec&Technology Wuhan, China
国际会议
武汉
英文
57-61
2009-11-18(万方平台首次上网日期,不代表论文的发表时间)