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.
Dornaika
F
F
Heudiasyc Laboratory, CNRS, Compiegne University of Technology, BP 20529, 60205 Compiegne Cedex, France. dornaika@hds.utc.fr
Ahlberg
J
J
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