Fast and reliable active appearance model search for 3-D face tracking.
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.
Heudiasyc Laboratory, CNRS, Compiegne University of Technology, BP 20529, 60205 Compiegne Cedex, France. dornaika@hds.utc.fr
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Dornaika
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Ahlberg
D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods; D003198:Computer Simulation; D005145:Face / Q000033:anatomy & histology* / Q000502:physiology*; D005149:Facial Expression; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique