Hierarchical superpixel-to-pixel dense image matching

Dong, Xingping, Shen, Jianbing and Shao, Ling (2017) Hierarchical superpixel-to-pixel dense image matching. IEEE Transactions on Circuits and Systems for Video Technology, 27 (12). pp. 2518-2526. ISSN 1051-8215

[img]
Preview
PDF (Accepted manuscript) - Submitted Version
Download (14MB) | Preview

Abstract

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.

Item Type: Article
Additional Information: Early title: HSP2P: Hierarchical superpixel-to-pixel dense image matching
Faculty \ School: Faculty of Science > School of Computing Sciences
Depositing User: Pure Connector
Date Deposited: 09 Mar 2017 01:41
Last Modified: 22 Jul 2020 01:21
URI: https://ueaeprints.uea.ac.uk/id/eprint/62907
DOI: 10.1109/TCSVT.2016.2595321

Actions (login required)

View Item View Item