自动局部点云配准算法及点云重建系统

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI:10.1109/ISPACS51563.2021.9651113

Qiong Cai, Kuo-Wei Chen, Chih-Yuan Yao, Hung-Kuo Chu

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引用次数: 2

摘要

点云配准是三维模型重建中的一个基本问题。我们提出了一种自动点云配准算法“Group ICP”，可以减少环绕扫描情况下的误差。我们的系统是一种自动点云配准方法，从点云重建网格，并在扫描时从不同的角度重建纹理。我们还将我们的系统与商业扫描仪和应用程序进行了比较，我们的结果脱颖而出。

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Automatic Local Point Cloud Registration Algorithm and Point Cloud Reconstruction System

Point cloud registration is a fundamental problem in 3D model reconstruction. We proposed an automatic point cloud registration algorithm "Group ICP" that can reduce error in the case of surround scanning. Our system is an automatic point cloud registration method to reconstruct mesh from point cloud and reconstruct the texture form different view when scanning. We also compare our system with commercial scanner and applications, and our result out stand for others.

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来源期刊

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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