Details
![Shanshan Li Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/17461.jpg?h=2c4e73f8&itok=dpSC_wwc)
- Affiliation
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AffiliationUniversity of Science and Technology of China
- Country
Due to the increasing popularity of augmented reality and virtual reality experiences, the interest in ways of presenting 3D real world to users has never been higher. Point cloud (PC) can provide users with six degrees of freedom (6DoF) viewing and has variable applications. However, point cloud usually has a huge amount of data and is necessary to be compressed. Video-based Point Cloud Compression (V-PCC) is a solution proposed by MPEG and currently best for dynamic point cloud coding. V-PCC converts 3D information into 2D videos through projection process, and utilizes mature 2D technology to encode dynamic point clouds. Besides the coding efficiency, diversity of resolutions have become a demand in practical applications. This paper proposes a video-based spatial scalable PC coding framework based on V-PCC standard, which verifies the feasibility of point cloud spatial scalability. The experimental results reflect the effectiveness of inter-layer prediction by comparing SHVC codec integration with HEVC codec integration.