Name
Abstract | ||
|---|---|---|
In this paper a real-time 3D pose estimation algorithm using range data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene. By not relying on brightness information, the proposed system guarantees robustness under a variety of illumination conditions, and scene contents. Efficient face detection using global features and exploitation of prior knowledge along with novel feature localization and tracking techniques are described. Experimental results demonstrate accurate estimation of the six degrees of freedom of the head and robustness under occlusions, facial expressions, and head shape variability. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.patcog.2004.11.020 | Pattern Recognition |
Keywords | Field | DocType |
face,efficient face detection,brightness information,dense range image,pose,scene content,tracking,proposed system guarantees robustness,novel feature localization,head,range data,accurate estimation,head shape variability,estimation algorithm,real time,face detection,3d pose estimation,facial expression | Computer vision,Pattern recognition,3D pose estimation,Six degrees of freedom,Pose,Robustness (computer science),Facial expression,Artificial intelligence,Articulated body pose estimation,Face detection,Mathematics,Brightness | Journal |
Volume | Issue | ISSN |
38 | 8 | Pattern Recognition |
Citations | PageRank | References |
49 | 2.09 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sotiris Malassiotis | 1 | 335 | 27.46 |
| Michael Gerasimos Strintzis | 2 | 1171 | 104.83 |