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CVPR
2008
IEEE
16 years 3 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
IJCV
2010
158views more  IJCV 2010»
15 years 7 days 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
SIBGRAPI
2006
IEEE
15 years 7 months ago
Expression Transfer between Photographs through Multilinear AAM's
Expression Transfer is a method for mapping a photographed expression performed by a given subject onto the photograph of another person’s face. Building on well succeeded previ...
Ives Macedo, Emilio Vital Brazil, Luiz Velho
142
Voted
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
14 years 5 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre
TMI
2011
182views more  TMI 2011»
14 years 8 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang