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Constrained branch-and-bound algorithm for image registration
引用本文:金剑秋 王章野 彭群生. Constrained branch-and-bound algorithm for image registration[J]. 浙江大学学报(A卷英文版), 2005, 6(B08): 94-99
作者姓名:金剑秋 王章野 彭群生
作者单位:[1]State Key Laboratory, of CAD&CG, Zhejiang University, Hangzhou 310027, China [2]College of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310035, China [3]Department of Mathematics, Zhejiang University, Hangzhou 310027, China
基金项目:Project supported by the National Basic Research Program (973) of China (No. 2002CB312101), the National Natural Science Foundation of China (Nos. 60475013 and 60273053) and Defense Science and Technology Key Lab. Foundation of China (No. 5147607010 IJW0409)
摘    要:In this paper, the authors propose a refined Branch-and-Bound algorithm for affine-transformation based image registration. Given two feature point-sets in two images respectively, the authors first extract a sequence of high-probability matched point-pairs by considering well-defined features, Each resultant point-pair can be regarded as a constraint in the search space of Branch-and-Bound algorithm guiding the search process. The authors carry out Branch-and-Bound search with the constraint of a pair-point selected by using Monte Carlo sampling according to the match measures of point-pairs. If such one cannot lead to correct result, additional candidate is chosen to start another search. High-probability matched point-pairs usually results in fewer loops and the search process is accelerated greatly. Experimental results verify the high efficiency and robustness of the author's approach.

关 键 词:图象注册 分歧跃进算法 仿射转化 图象处理 空间搜寻
收稿时间:2005-02-02
修稿时间:2005-06-12

Constrained branch-and-bound algorithm for image registration
Jin JianQiu;Wang ZhangYe;Peng QunSheng. Constrained branch-and-bound algorithm for image registration[J]. Journal of Zhejiang University Science, 2005, 6(B08): 94-99
Authors:Jin JianQiu  Wang ZhangYe  Peng QunSheng
Abstract:
Keywords:Image registration   Branch-and-Bound   Constrained refinement
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