Cargando…
Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion
This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealing with complex registration problem with non-Gauss...
Autores principales: | Zhang, Xuetao, Jian, Libo, Xu, Meifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969772/ https://www.ncbi.nlm.nih.gov/pubmed/29799864 http://dx.doi.org/10.1371/journal.pone.0197542 |
Ejemplares similares
-
Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection
por: Qi, Yu, et al.
Publicado: (2014) -
Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
por: Deng, Zhihong, et al.
Publicado: (2018) -
Diffusion Maximum Correntropy Criterion Based Robust Spectrum Sensing in Non-Gaussian Noise Environments
por: Xu, Xiguang, et al.
Publicado: (2018) -
Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion
por: Yue, Pengcheng, et al.
Publicado: (2020) -
Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
por: Wang, Baobin, et al.
Publicado: (2019)