MRF-BASED AUTOMATIC IMAGE ORDERING AND ITS APPLICATION TO MOSAICING

被引：0

作者：

Song, Ran ^{[1
]}

Liu, Yonghuai ^{[1
]}

Zhao, Yitian ^{[1
]}

Martin, Ralph R. ^{[2
]}

Rosin, Paul L. ^{[2
]}

机构：

[1] Aberystwyth Univ, Dept Comp Sci, Aberystwyth, Dyfed, Wales

[2] Cardiff Univ, Sch Comp Sci & Informat, Cardiff CF10 3AX, S Glam, Wales

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年

关键词：

MRF; image ordering; image mosaicing; ENERGY MINIMIZATION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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 multistage 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.

引用

页码：1549 / 1552

页数：4

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