Name
Title | ||
|---|---|---|
Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. |
Abstract | ||
|---|---|---|
In this paper, we present an optimized implementation of automatic head direction extraction for a person placed in front of his webcam. The aim is to compute the different rotation angles of the head with a non-invasive and continuous tracking. Our method is based on 2D features tracking of the face with a low cost webcam. This information is associated to a set of points from a 3D head model by perspective-n-point solution to obtain pitch, roll and yaw. These results are then compared with a reference acquired with faceLAB, a robust markerless head tracker and eye tracking system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-08189-2_8 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
Face tracking,head pose estimation,markerless,perspective-n-point solution,faceLAB | Eye tracking system,Computer vision,Computer graphics (images),Computer science,Simulation,Tracking system,Pose,Artificial intelligence,Facial motion capture | Conference |
Volume | ISSN | Citations |
136 | 1867-8211 | 2 |
PageRank | References | Authors |
0.44 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| François Rocca | 1 | 14 | 3.10 |
| Matei Mancas | 2 | 315 | 27.50 |
| Bernard Gosselin | 3 | 198 | 12.88 |