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FGR
2004
IEEE
89views Biometrics» more  FGR 2004»
15 years 8 months ago
Subspace Analysis and Optimization for AAM Based Face Alignment
1 Active Appearance Models (AAM) is very powerful for extracting objects, e.g. faces, from images. It is composed of two parts: the AAM subspace model and the AAM search. While th...
Ming Zhao 0003, Chun Chen, Stan Z. Li, Jiajun Bu
CVPR
2005
IEEE
16 years 7 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
QEST
2005
IEEE
15 years 10 months ago
Comparative Analysis of Bisimulation Relations on Alternating and Non-Alternating Probabilistic Models
We consider bisimulation and weak bisimulation relations in the context of the Labeled Markov Chains of Hansson and Jonsson, the Concurrent Labeled Markov Chains of Philippou, Lee...
Roberto Segala, Andrea Turrini
ICB
2007
Springer
112views Biometrics» more  ICB 2007»
15 years 11 months ago
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose
Face recognition systems have to deal with the problem that not all variations of all persons can be enrolled. Rather, the variations of most persons must be modeled. Explicit mode...
Marco K. Müller, Alexander Heinrichs, Andreas...
FLAIRS
2008
15 years 7 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar