Name
Abstract | ||
|---|---|---|
While the problem of facial landmark detection is getting big attention in the computer vision community recently, most of the methods deal only with near-frontal views and there is only a few really multi-view detectors available, that are capable of detection in a wide range of yaw angle (e.g. Φ ε (-90°, 90°)). We describe a multi-view facial landmark detector based on the Deformable Part Models, which treats the problem of the simultaneous landmark detection and the viewing angle estimation within a structured output classification framework. We present an easily extensible and flexible framework which provides a real-time performance on the “in the wild” images, evaluated on a challenging “Annotated Facial Landmarks in the Wild” database. We show that our detector achieves better results than the current state of the art in terms of the localization error. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/FG.2015.7284810 | 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) |
Keywords | Field | DocType |
real-time multiview facial landmark detector,structured output SVM,computer vision community,yaw angle,deformable part model,viewing angle estimation,structured output classification framework,annotated facial landmark | Computer vision,Pattern recognition,Computer science,Support vector machine,Euler angles,Artificial intelligence,Landmark,Detector,Viewing angle | Conference |
Volume | Citations | PageRank |
02 | 11 | 0.55 |
References | Authors | |
19 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Uricar | 1 | 86 | 4.31 |
| Vojtěch Franc | 2 | 584 | 55.78 |
| Diego Thomas | 3 | 67 | 11.42 |
| Akihiro Sugimoto | 4 | 383 | 42.87 |
| Václav Hlavác | 5 | 616 | 85.46 |