Point-cloud compressor
Learning-based compression of point cloud geometry and color
It includes scripts for training and testing a neural network architecture for compression of geometry and color of point clouds. The compression model is based on a convolutional auto-encoder architecture that operates on block partitions of a point cloud.
Computer Vision
- Technical
- Research papers
- Source code: Lab GitHub
- Last commit: 2022-01-04
The Multimedia Signal Processing Group is headed by Prof. Touradj Ebrahimi.
The group is active in research and teaching in the field of multimedia signal processing. Research topics span over three highly interconnected disciplines of multimedia signal processing, namely multimedia coding, multimodal processing, analysis and interpretation, and media security.
The group is active in research and teaching in the field of multimedia signal processing. Research topics span over three highly interconnected disciplines of multimedia signal processing, namely multimedia coding, multimodal processing, analysis and interpretation, and media security.
This page was last edited on 2024-03-15.
This page was last edited on 2024-03-15.