期刊论文

Li, Chang;Zhang, Yongjun;Zhang, Zuxun

英文

Photogrammetric Record

0031-868X

2016

31

153

29-50

10.1111/phor.12141

National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41101407, 41571434, 41322010]; Natural Science Foundation of Hubei Province, ChinaNatural Science Foundation of Hubei Province [2014CFB377, 2010CDZ005]; self-determined research funds of Central China Normal University (CCNU) from the college's basic research and operation of MOE [CCNU15A02001]

本校为第一且通讯机构

Critical keylines, such as concave and convex edges of a building façade, can be lost in photogrammetric recognition procedures. To solve this problem and to reconstruct quasi-planar 3D façades automatically and precisely, a set of algorithms and techniques for the automatic recognition of lines and 3D reconstruction is proposed. This includes: (1) a procedure for line-segment matching that satisfies the spatial requirements of a 3D scene based on "global independence" and "local dependence" (2) a technique of generalised point bundle block a...

Critical keylines, such as concave and convex edges of a building façade, can be lost in photogrammetric recognition procedures. To solve this problem and to reconstruct quasi-planar 3D façades automatically and precisely, a set of algorithms and techniques for the automatic recognition of lines and 3D reconstruction is proposed. This includes: (1) a procedure for line-segment matching that satisfies the spatial requirements of a 3D scene based on “global independence” and “local dependence”; (2) a technique of generalised point bundle bl...