Feature Correspondence Based on Directed Structural Model Matching

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	Feature Correspondence Based on Directed Structural Model Matching
	Yang X(杨旭); Qiao, Hong; Liu, Zhiyong; Zhi-Yong Liu
发表期刊	Image and Vision Computing
	2015
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	多模态人工智能系统全国重点实验室_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
第一作者单位	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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Feature corresponden（2582KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载