Name
Abstract | ||
|---|---|---|
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited and the head in the scene is detected and geometrically approximated by an ellipsoid. Skin patches from each detected head are located in each camera view. Data fusion is performed by back-projecting skin patches from single images onto the estimated 3D head model, thus providing a synthetic reconstruction of the head appearance. Finally, these data are processed in a pattern analysis framework thus giving an estimation of face orientation. Tracking over time is performed by Kalman filtering. Results of the proposed algorithm are provided in the SmartRoom scenario of the CLEAR Evaluation. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-69568-4_28 | CLEAR |
Keywords | Field | DocType |
clear evaluation,skin patch,data fusion,back-projecting skin patch,low resolution sequence,head appearance,head model,camera view,multiple viewpoint information,smartroom scenario,face orientation,pattern analysis,kalman filter,low resolution | Skin patch,Computer vision,Ellipsoid,Computer science,Pattern analysis,Fusion,Sensor fusion,Pose,Kalman filter,Redundancy (engineering),Artificial intelligence | Conference |
Volume | ISSN | Citations |
4122 | 0302-9743 | 5 |
PageRank | References | Authors |
0.55 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Canton-Ferrer, C. | 1 | 237 | 13.78 |
| Josep Ramon Casas | 2 | 34 | 2.75 |
| Montse Pardàs | 3 | 343 | 35.03 |