MRF-based automatic image ordering and its application to mosaicing

Song, Ran, Liu, Yonghuai, Zhao, Yitian, Martin, Ralph Robert and Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 2011. MRF-based automatic image ordering and its application to mosaicing. Presented at: International Conference on Acoustics, Speech and Signal Processing ( ICASSP), Pregue, Czech Republic, 22-27 May 2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing proceedings : 22-27 May 2011, Prague, Czech Republic. Los Alamitos, CA: IEEE, pp. 1549-1552. 10.1109/ICASSP.2011.5946790

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Abstract

A fast and robust auto-sorting method for image ordering based on Markov Random Fields (MRF) is proposed. We present a specific MRF model for the ordering problem and use pairwise phase correlation for the formulation. The MRF is inferred by a modified belief propagation (BP) method. Experimental results prove that the new method can reorder a disorganised collection of images without human input, prior information or restrictions, as just the first stage of a multi stage mosaicing process, but also provides information that can be used to guide a mosaicing process in order to reduce both local mismatch and global error accumulation.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	MRF , image mosaicing , image ordering
Publisher:	IEEE
ISBN:	9781457705380
Last Modified:	18 Oct 2022 13:15
URI:	https://orca.cardiff.ac.uk/id/eprint/13256

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