Deep Learning for 3D Point Clouds: A Survey
Sun Yat-sen University · National University of Defense Technology · +4 more institutions
Abstract
Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computer vision, autonomous driving, and robotics. As a dominating technique in AI, deep learning has been successfully used to solve various 2D vision problems. However, deep learning on point clouds is still in its infancy due to the unique challenges faced by the processing of point clouds with deep neural networks. Recently, deep learning on point clouds has become even thriving, with numerous methods being proposed to address different problems in this area. To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.…
Citation impact
- FWCI
- 204.86
- Percentile
- 100%
- References
- 331
Authors
6Topics & keywords
- Point cloud
- Deep learning
- Artificial intelligence
- Computer science
- Segmentation
- Point (geometry)
- Object detection
- Machine learning