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» Maximum Likelihood Face Detection
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WACV
2007
IEEE
15 years 4 months ago
Probabilistic Hierarchical Face Model for Feature Localization
Facial feature localization is an important research area in both computer vision and pattern analysis. We present in this paper a hierarchical face model. It unifies both the gl...
Feng Tang, Jin Wang, Hai Tao, Qunsheng Peng
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
15 years 4 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
NN
2006
Springer
100views Neural Networks» more  NN 2006»
14 years 10 months ago
Neural voting machines
In theories of cognition that view the mind as a system of interacting agents, there must be mechanisms for aggregate decision-making, such as voting. Here we show that certain vo...
Whitman Richards, H. Sebastian Seung, Galen Pickar...
ECCV
2004
Springer
15 years 12 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
ICIP
2000
IEEE
15 years 11 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda