Can I read 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods on EtoBox?

3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods by Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo is a computer science book available to read on EtoBox.

What is 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods about?

This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep learning on point clouds methods include comprehensive analysis of the breakthroughs from the past fe

Who reads 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods?

Author

Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo

Publisher

Springer International Publishing AG; MOXIC; Springer

Published

2021

Language

EN

ISBN

9783030891824

Category

computer science

Subjects

Technology, Science, Mathematics

Updated

2026-03-25