Name
Abstract | ||
|---|---|---|
We present an overview of the MPEG activity on Point Cloud Compression (PCC). This activity aims to satisfy the growing need for lossless and lossy PCC in industry. It follows recent advances in consumer electronics in 3D reconstruction and capturing. We present the preliminary architecture, test datasets and the test model reference software implementation. Contributions beyond the state of the art in PCC include lossy coding of color attributes and lossy inter-predictive coding. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/DCC.2016.91 | 2016 DATA COMPRESSION CONFERENCE (DCC) |
Field | DocType | ISSN |
Computer vision,Lossy compression,Computer science,Transform coding,Coding (social sciences),Artificial intelligence,Point cloud,Data compression,Reference software,Context-adaptive binary arithmetic coding,Lossless compression | Conference | 1068-0314 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rufael Mekuria | 1 | 178 | 14.61 |
| Lazar Bivolarsky | 2 | 0 | 0.34 |