Name
Abstract | ||
|---|---|---|
This paper reports on a pilot system for reconstruction and visualisation of complex spatio-temporal scenes by integrating two different types of data: outdoor 4D data measured by a rotating multi-beam LIDAR sensor, and 4D models of moving actors obtained in a 4D studio. A typical scenario is an outdoor scene with multiple walking pedestrians. The LIDAR monitors the scene from a fixed position and provides a dynamic point cloud. This information is processed to build a 3D model of the environment and detect and track the pedestrians. Each of them is represented by a point cluster and a trajectory. A moving cluster is then substituted by a detailed 4D model created in the studio. The output is a geometrically reconstructed and textured scene with avatars that follow in real time the trajectories of the pedestrians. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39402-7_3 | ICVS |
Keywords | Field | DocType |
fixed position,point cluster,outdoor scene,dynamic point cloud,textured scene,paper report,different type,complex spatio-temporal scene,multiple walking pedestrian,visualisation system,multi-beam lidar sensor,mrf | Computer vision,Computer graphics (images),Visualization,Studio,Computer science,Data type,Lidar,Artificial intelligence,Point cloud,Trajectory | Conference |
Citations | PageRank | References |
3 | 0.42 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Csaba Benedek | 1 | 193 | 21.31 |
| Zsolt Jankó | 2 | 33 | 5.94 |
| Csaba Horváth | 3 | 33 | 2.20 |
| Dömötör Molnár | 4 | 7 | 0.84 |
| Chetverikov, D. | 5 | 956 | 99.89 |
| Tamás Szirányi | 6 | 152 | 26.92 |