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FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
13 years 11 months ago
Learning image alignment without local minima for face detection and tracking
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2007
IEEE
14 years 6 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
IJCV
2010
158views more  IJCV 2010»
13 years 3 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
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...
ICIP
2010
IEEE
13 years 2 months ago
Face-TLD: Tracking-Learning-Detection applied to faces
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas