Automatic Segmentation of Urban Point Clouds Based on the Gaussian Map

Author:

Wang Yinghui1,Hao Wen1,Ning Xiaojuan1,Zhao Minghua1,Zhang Jiulong1,Shi Zhenghao1,Zhang Xiaopeng2

Affiliation:

1. Xi'an University of Technology; China

2. Institute of Automation; Chinese Academy of Sciences; Beijing China

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous)

Reference29 articles.

1. An improved segmentation approach for planar surfaces from unstructured 3D point clouds;Awwad;Photogrammetric Record,2010

2. Classification and segmentation of terrestrial laser scanner point clouds using local variance information;Belton;International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,2006

3. Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods;Biosca;ISPRS Journal of Photogrammetry and Remote Sensing,2008

4. SkelTre: robust skeleton extraction from imperfect point clouds;Bucksch;The Visual Computer,2010

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