Fast and reliable active appearance model search for 3-D face tracking.
IEEE Trans Syst Man Cybern B Cybern
; 34(4): 1838-53, 2004 Aug.
Article
in En
| MEDLINE
| ID: mdl-15462449
ABSTRACT
This paper addresses the three-dimensional (3-D) tracking of pose and animation of the human face in monocular image sequences using active appearance models. The major problem of the classical appearance-based adaptation is the high computational time resulting from the inclusion of a synthesis step in the iterative optimization. Whenever the dimension of the face space is large, a real-time performance cannot be achieved. In this paper, we aim at designing a fast and stable active appearance model search for 3-D face tracking. The main contribution is a search algorithm whose CPU-time is not dependent on the dimension of the face space. Using this algorithm, we show that both the CPU-time and the likelihood of a nonaccurate tracking are reduced. Experiments evaluating the effectiveness of the proposed algorithm are reported, as well as method comparison and tracking synthetic and real image sequences.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Image Interpretation, Computer-Assisted
/
Imaging, Three-Dimensional
/
Face
/
Movement
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
IEEE Trans Syst Man Cybern B Cybern
Journal subject:
ENGENHARIA BIOMEDICA
Year:
2004
Document type:
Article
Affiliation country: