January 13, 2020 – /,
As a developing media content, point cloud has gained great interest in both industry and research due to its applicability in diverse areas such as virtual reality, autonomous driving, and video gaming.
A high-quality 3D point cloud would enable new ways of interaction with the virtual environments. However, point clouds are highly resource-demanding and therefore are difficult to stream at an acceptable quality level.
Therefore, point cloud compression approach with a high compression ratio and tiny loss is very important to improve transportation efficiency.
In this work, the student will investigate how can compression method based on Deep learning/Auto-Encoder performing better than state-of-art compressing approaches.
Create and evaluate point cloud compression method based on Deep learning networks. For that:
Deep learning, Point Cloud, Compression
Keywords: Deep learning, Point Cloud, Compression