3d point cloud analysis: traditional, deep learning, and explainable machine learning methods
Auteur :
Liu, Shan / Zhang, Min / Kadam, Pranav / Kuo, C.-C. Jay
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030891824
Date de publication :
11 déc. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The comparison and analysis between the three types of methods are given to help readers have a deeper understanding.With the rich deep learning literature in 2D vision, a natural inclination for 3D vision researchers is to develop deep learning methods for point cloud processing.