中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Feature Correspondence Based on Directed Structural Model Matching

文献类型:期刊论文

作者Yang X(杨旭); Qiao, Hong; Liu, Zhiyong; Zhi-Yong Liu
刊名Image and Vision Computing
出版日期2015
期号33页码:57-67
关键词Graph matching Directed structural model Feature correspondence
通讯作者Zhi-Yong Liu
英文摘要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.
源URL[http://ir.ia.ac.cn/handle/173211/12475]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。