Feature Correspondence Based on Directed Structural Model Matching
Yang X(杨旭); Qiao, Hong; Liu, Zhiyong; Zhi-Yong Liu
2015
发表期刊Image and Vision Computing
期号33页码:57-67
摘要Feature correspondence lays the foundation for many tasks in computer vision and pattern recognition. In this paper the directed structural model is utilized to represent the feature set, and the correspondence problem is then formulated as the structural model matching. Compared with the undirected structural model, the proposed directed model provides more discriminating ability and invariance against rotation and scale transformations. Finally, the recently proposed convex–concave relaxation procedure (CCRP) is generalized to approximately solve the problem. Extensive experiments on synthetic and real data witness the effectiveness of the proposed method.
关键词Graph Matching Directed Structural Model Feature Correspondence
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12475
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Zhi-Yong Liu
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Yang X,Qiao, Hong,Liu, Zhiyong,et al. Feature Correspondence Based on Directed Structural Model Matching[J]. Image and Vision Computing,2015(33):57-67.
APA Yang X,Qiao, Hong,Liu, Zhiyong,&Zhi-Yong Liu.(2015).Feature Correspondence Based on Directed Structural Model Matching.Image and Vision Computing(33),57-67.
MLA Yang X,et al."Feature Correspondence Based on Directed Structural Model Matching".Image and Vision Computing .33(2015):57-67.
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