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A Method of Regular Objects Recognition from 3D Laser Point Cloud

  • Ping Zheng
  • Aiwu Zhang
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 126)

Abstract

Outside and inside scenes are usually made of regular surfaces such as plane, spherical surface, cylindrical surface, and so on. While we capture 3D data of the real scenes using the laser scanner, 3D laser point cloud includes a lot of, regular surfaces. So we presented a method recognizes the plane, spherical and cylindrical surface based on normal and curvature. We used Coordinate Transformation method (CT) to solve normal and curvature; used linear octree improve the computing efficiency of general CT method. We gave the experiment for testing the robustness of the algorithm.

Keywords

Point Cloud Principal Curvature NURBs Curve Regular Surface Point Cloud Curvature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Key Laboratory of 3D Information Acquisition and Application (MOE)BeijingChina

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