Name
Title | ||
|---|---|---|
Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell] |
Abstract | ||
|---|---|---|
The widespread adoption of new 3D sensor and authoring technologies has made it possible to capture 3D scenes and models in real time with decent visual quality. As an example, Microsoft's Kinect and Apple's PrimeSense technology are now being used in a wide variety of interactive 3D mobile applications, including gaming and augmented reality applications. The latest smartphones are equipped with multiple cameras, which can be readily used to generate depth images. Some of the latest smartphones also include depth-ranging sensors that can be used for 3D model generation. Light-based detection and ranging (lidar) technologies are yet another field where 3D depth acquisition is important. Realtime 3D scenery detection and ranging has become an important issue for the emerging field of autonomous navigation and driving applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MSP.2019.2900721 | IEEE Signal Processing Magazine |
Field | DocType | Volume |
3d sensor,Computer vision,Computer science,Image coding,Augmented reality,Interactive 3d,Ranging,Lidar,Artificial intelligence,Point cloud,Multimedia | Journal | 36 |
Issue | ISSN | Citations |
3 | 1053-5888 | 10 |
PageRank | References | Authors |
0.70 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Euee S. Jang | 1 | 40 | 15.77 |
| Marius Preda | 2 | 192 | 27.17 |
| Khaled Mammou | 3 | 46 | 2.89 |
| Tourapis, A.M. | 4 | 177 | 26.97 |
| Jungsun Kim | 5 | 144 | 10.44 |
| Danillo B. Graziosi | 6 | 10 | 0.70 |
| Sungryeul Rhyu | 7 | 10 | 0.70 |
| Madhukar Budagavi | 8 | 267 | 23.26 |