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A Parallel Fast Sort Algorithm for Mass 3D Point Clouds of Irregular Model

초록

영어

According to mass point clouds without explicit topology relation, a parallel fast sort algorithm is proposed in this paper. Morton order is introduced and used to merge one-dimensional data. The mass point clouds of irregular model are generated corresponding address code named Morton code and these points are stored in the octree structure chain. And then a parallel fast sort algorithm based on Euclidean distance is used to sort by CPU and GPU. The k-Nearest Neighbors of point can be located in the chain. The experiment results show that much time is saved and k-Nearest Neighbors of point can be searched directly. This algorithm is simpler than those complex sort methods used on the whole point clouds.

목차

Abstract
 1. Introduction
 2. Storage Structure Based on Morton Order
  2.1. Two-Dimensional Coordinate is Merged to Morton Value
  2.2. Morton Order Generation Algorithm
  2.3. Storage Structure
 3. Parallel Fast Sort Algorithm for Irregular Model
 4. Results
 5. Conclusions
 Acknowledgments
 References

저자정보

  • Liu Yan-ju Computer Center, Qiqihar University, Qiqihar, China
  • Zhang Hong-lie College of Computer and Control Engineering, Qiqihar University, Qiqihar, China
  • Tao Bai-rui Computer Center, Qiqihar University, Qiqihar, China
  • Li Cheng College of Computer and Control Engineering, Qiqihar University, Qiqihar, China

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