 |
Technical Program
Paper Detail
| Paper: | WP-L6.4 |
| Session: | 3DTV: Extraction, Representation, Compression and Transmission |
| Time: | Wednesday, October 11, 15:20 - 15:40 |
| Presentation: |
Special Session Lecture
|
| Title: |
CONNECTIVITY-GUIDED PREDICTIVE COMPRESSION OF DYNAMIC 3D MESHES |
| Authors: |
Nikolce Stefanoski; Universität Hannover | | | | | Jörn Ostermann; Universität Hannover | | |
| Abstract: |
We introduce an efficient algorithm for real-time compression of temporally consistent dynamic 3D meshes. The algorithm uses mesh connectivity to determine the order of compression of vertex locations within a frame. Compression is performed in a frame to frame fashion using only the last decoded frame and the partly decoded current frame for prediction. Following the predictive coding paradigm, local temporal and local spatial dependencies between vertex locations are exploited. In this framework we present a novel angle preserving predictor and evaluate its performance against other state of the art predictors. It is shown that the proposed algorithm improves up to 25% upon the current state of the art for compression of temporally consistent dynamic 3D meshes. |
|
