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» Face Recognition Using Active Appearance Models
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FGR
2004
IEEE
89views Biometrics» more  FGR 2004»
15 years 7 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
112
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ICPR
2010
IEEE
15 years 1 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier
ICPR
2008
IEEE
15 years 9 months ago
Object boundary extraction using Active B-Snake Model
A new deformable model called Active B-Snake Model (ABM) is presented for object boundary extraction. First, an affine-invariant landmark point assignment strategy is proposed to ...
Yue Wang, Eam Khwang Teoh, Zujun Hou, Jian-Gang Wa...
ECCV
2006
Springer
16 years 5 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
CVPR
2006
IEEE
16 years 5 months ago
The Function Space of an Activity
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
Ashok Veeraraghavan, Amit K. Roy Chowdhury