CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Line Matching Across Views Based on Multiple View Stereo
Kangping Fu; Shuhan Shen; Zhanyi Hu
Source PublicationActa Automatica Sinica
2014
Volume40Issue:8Pages:1680-1689
Abstract

A graph-based multiple view line matching method is proposed based on results of multiple view stereo (MVS) algorithms. With the 3D points and their visibility information provided by MVS, point-line correspondences are firstly established through 3D-to-2D re-projection. Each image line detected in different views is described using a 3D point set as well as a unit vector representing its coarse 3D direction. From such a description, pairwise similarity and consistency are evaluated. Then, a graph is constructed to contain all image lines as nodes. To get a unified node distance measure, a spectral graph analysis method is employed. Finally, a modified DBSCAN algorithm is introduced to obtain reliable line matches from the graph. Experiments show that our method is more robust and exhibits better accuracy than the existing methods.

KeywordMulti-view Line Matching Multiple View Stereo (Mvs) Feature Matching 3d Point Clouds
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21734
Collection模式识别国家重点实验室_机器人视觉
Recommended Citation
GB/T 7714
Kangping Fu,Shuhan Shen,Zhanyi Hu. Line Matching Across Views Based on Multiple View Stereo[J]. Acta Automatica Sinica,2014,40(8):1680-1689.
APA Kangping Fu,Shuhan Shen,&Zhanyi Hu.(2014).Line Matching Across Views Based on Multiple View Stereo.Acta Automatica Sinica,40(8),1680-1689.
MLA Kangping Fu,et al."Line Matching Across Views Based on Multiple View Stereo".Acta Automatica Sinica 40.8(2014):1680-1689.
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