Huang et al., 2020 - Google Patents
Octsqueeze: Octree-structured entropy model for lidar compressionHuang et al., 2020
View PDF- Document ID
- 16472343169394947418
- Author
- Huang L
- Wang S
- Wong K
- Liu J
- Urtasun R
- Publication year
- Publication venue
- Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
External Links
Snippet
We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds. Our method exploits the sparsity and structural redundancy between points to reduce the bitrate. Towards this goal, we first encode the point cloud into an octree, a data …
- 238000007906 compression 0 title abstract description 44
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