Name
Abstract | ||
|---|---|---|
Facial landmark detection is an essential module in many face related applications and it often appears as the most time consuming part in face processing pipeline. This paper proposes a fast and effective method for facial landmark detection using Haar cascade classifiers and a simple 3D head model, which not only detects the position of landmark points but also gives an estimation of head pose such as yaw and pitch angles. To reduce the amount of computation, only 7 landmark points are detected (4 eye corners, 2 mouth corners, 1 nose tip) that generally meets the requirement of face alignment and face recognition. Experiment on multiple datasets shows our algorithm can provide sufficient accuracy of facial landmark localization while being able to run in super real-time at Intel Atom 1.3 GHz embedded processors. |
Year | Venue | Keywords |
|---|---|---|
2011 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Facial landmark detection,Head pose estimation,Haar cascade classifier,Active shape model |
Field | DocType | ISSN |
Active shape model,Facial recognition system,Computer vision,Pattern recognition,Computer science,Pose,Haar-like features,Artificial intelligence,Solid modeling,Landmark,Contextual image classification,Computation | Conference | 1522-4880 |
ISBN | Citations | PageRank |
978-1-4577-1303-3 | 2 | 0.38 |
References | Authors | |
4 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Ang | 1 | 2 | 0.38 |
| Yangzhou Du | 2 | 169 | 13.85 |
| Tao Wang | 3 | 292 | 14.48 |
| Jianguo Li | 4 | 377 | 35.38 |
| Eric Q. Li | 5 | 102 | 8.17 |
| Zhang Yimin | 6 | 2 | 0.38 |
| Zhao Yong | 7 | 90 | 14.85 |