期刊论文

Zhang, Yongjun;Liu, Xinyi

英文

ISPRS Journal of Photogrammetry and Remote Sensing

0924-2716

2021

171

49-62

10.1016/j.isprsjprs.2020.11.002

The association graph unifies the geometry constraints for pairwise candidates, in which the node represents the point or line candidate and the edge represents the geometry constraint. Compared with other graph based algorithm (Beder, 2004, McAuley et al., 2010, Yang and Liu, 2017), the association graph in GLSM is unique for two aspects: (1) the geometry constraint is manly based on the local coplanar assumption, and the edge between line and point candidate is able to be established. (2) The

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Line segment matching in two or multiple views is helpful to 3D reconstruction and pattern recognition. To fully utilize the geometry constraint of different features for line segment matching, a novel graph-based algorithm denoted as GLSM (Graph-based Line Segment Matching) is proposed in this paper, which includes: (1) the employment of three geometry types, i.e., homography, epipolar, and trifocal tensor, to constrain line and point candidates across views; (2) the method of unifying different geometry constraints into a line-point associati...