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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE1 Deep Learning for 3D Point Clouds: A SurveyYulan Guo , Hanyun Wang , Qingyong Hu , Hao Liu , Li Liu, and Mohammed BennamounAbstract Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computervision, autonomous driving, and robotics. As a dominating technique in AI, deep learning has been successfully used to solve various2D vision problems. However, deep learning on point clouds is still in its infancy due to the unique challenges faced by the processingof point clouds with deep neural networks. Recently, deep learning on point clouds has become even thriving, with numerous methodsbeing proposed to address different problems in this area. To stimulate future research, this paper presents a comprehensive review ofrecent progress in deep learning methods for point clouds.
cloud processing, including 3D shape classification, 3D ob-ject detection and tracking,3D point cloud segmentation, 3D point cloud registration, 6-DOF pose estimation, and 3D reconstruction [16], [17], [18]. Few surveys of deep learning ... detection and tracking, and 3D point cloud segmentation. In particular, the attributes of these datasets ...
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