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• W2441627021 abstract "Image matching is an important and fundamental problem in computer vision. When human matches two objects in images, not only local feature, (i.e. colour similarity and etc.), but also higher order structures (i.e. shape similarity and etc.) are used. In this paper, a novel higher order score function for image matching is proposed, and then the score function are optimised via efficient belief propagation algorithm. Experiments show that the proposed image matching method are robust to noise, JPEG compression and etc. The proposed algorithm also handles large scale problems that previous algorithms fails to handle." @default.
• W2441627021 created "2016-06-24" @default.
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• W2441627021 date "2015-12-01" @default.
• W2441627021 modified "2023-10-12" @default.
• W2441627021 title "Image matching via higher order structures" @default.
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• W2441627021 doi "https://doi.org/10.1109/icot.2015.7498509" @default.
• W2441627021 hasPublicationYear "2015" @default.
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