Hierarchical superpixel-to-pixel dense image matching

Xingping Dong, Jianbing Shen, Ling Shao

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
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In this paper, we propose a novel matching method to establish dense correspondences automatically between two images in a hierarchical superpixel-to-pixel (HSP2P) manner. Our method first estimates dense superpixel pairings between the two images in the coarse-grained level to overcome large patch displacements and then utilize superpixel level pairings to drive the matchings in the pixel level to obtain fine texture details. In order to compensate for the influence of color and illumination variations, we apply a regularization technique to rectify images by a color transfer function. Experimental validation on benchmark datasets demonstrates that our approach achieves better visual quality outperforming state-of-theart dense matching algorithms.
Original languageEnglish
Pages (from-to)2518-2526
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number12
Early online date27 Jul 2016
Publication statusPublished - Dec 2017

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