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AMDO
2006
Springer
13 years 8 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...
RAS
2000
187views more  RAS 2000»
13 years 4 months ago
Detection, tracking, and classification of action units in facial expression
Most of the current work on automated facial expression analysis attempt to recognize a small set of prototypic expressions, such as joy and fear. Such prototypic expressions, how...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
13 years 8 months ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
IVC
2007
266views more  IVC 2007»
13 years 4 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
ICCS
2007
Springer
13 years 11 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li