Point Cloud Registration Algorithm Based on Cauchy Mixture Model

IEEE Photonics Journal

Zhongma Cui¹  Qin Shu²  Chang Wang²  Chunxiao Yu³  Yunxiu Yang³ 

[1] Beijing Institute of Remote Sensing Equipment, Beijing, China;College of Electrical Engineering, Sichuan University, Chengdu, China;Southwest Institute of Technical Physics, Chengdu, China;

关键词: Affine;    cauchy distribution;    MM Algorithm;    point cloud;    registration;   

DOI  :  10.1109/JPHOT.2020.3035673

来源: DOAJ

【 摘 要 】

In this paper, the Cauchy mixture distribution is used for rigid and affine registration. The Cauchy function has a wider effective range than the general window function, so it has a greater information utilization ratio than most registration algorithms. This means that the method can quickly match point clouds without initial registration and corresponding points. On the other hand, the computational complexity of Cauchy mixture model is lower than that of widely used Gaussian mixture model. This means that the introduction of Cauchy mixture model will save computing resources. However, the log-likelihood function of the Cauchy mixture distribution is a nonlinear function that is difficult to solve. This paper proposes an optimization method for the Cauchy mixture model, and discusses the advantages of the Cauchy mixture model in rigid and affine registration. In the experiment, compared with several other algorithms, our method quickly and accurately registers point clouds.

【 授权许可】

Unknown