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
收藏
页码：1549 / 1552
页数：4
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