MOCC: A Fast and Robust Correlation-Based Method for Interest Point Matching under Large Scale Changes. (3rd October 2010)

• Record Type: Journal Article
• Authors: Zhao Zhao, Feng Feng; Huang Huang, Qingming Qingming; Wang Wang, Hao Hao; Gao Gao, Wen Wen
• Other Names: Chen Chen Mei-Juan Mei-Juan Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-10-03
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/410628
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : Similarity measures based on correlation have been used extensively for matching tasks. However, traditional correlation-based image matching methods are sensitive to rotation and scale changes. This paper presents a fast correlation-based method for matching two images with large rotation and significant scale changes. Multiscale oriented corner correlation (MOCC) is used to evaluate the degree of similarity between the feature points. The method is rotation invariant and capable of matching image pairs with scale changes up to a factor of 7. Moreover, MOCC is much faster in comparison with the state-of-the-art matching methods. Experimental results on real images show the robustness and effectiveness of the proposed method.