Classification of Point Clouds for Indoor Components Using Few Labeled Samples

The existing deep learning methods for point cloud classification are trained using abundant labeled samples and used to test only a few samples. However, classification tasks are diverse, and not all tasks have enough labeled samples for training. In this paper, a novel point cloud classification m...

Full description

Bibliographic Details
Main Authors: Hangbin Wu, Huimin Yang, Shengyu Huang, Doudou Zeng, Chun Liu, Hao Zhang, Chi Guo, Long Chen
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/14/2181