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Pattern Recognition, International Conference on (2000)
Barcelona, Spain
Sept. 3, 2000 to Sept. 8, 2000
ISBN: 0-7695-0750-6
pp: 3182
Vinod Chandran , Queensland University of Technology
Simon Lucey , Queensland University of Technology
Sridha Sridharan , Queensland University of Technology
ABSTRACT
Multimodal speech processing in which visual facial features are jointly processed with audio features is a rapidly advancing field. Lip movements and configurations provide useful information to improve speech and speaker recognition. However, the use of this visual information requires accurate and fast lip tracking algorithms. A new technique is outlined that is able to estimate the outer lip contour directly from a given lip intensity image via linear regression. An active shape model that is able to track speaker's lips without requiring time-consuming iterative energy minimization techniques can improve this estimate. Results of performance are presented against known tracking algorithms using the M2VTS database.
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CITATION
Vinod Chandran, Simon Lucey, Sridha Sridharan, "Initialized Eigenlip Estimator for Fast Lip Tracking Using Linear Regression", Pattern Recognition, International Conference on, vol. 03, no. , pp. 3182, 2000, doi:10.1109/ICPR.2000.903514
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