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» Large Scale Learning of Active Shape Models
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FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 1 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
CVPR
2008
IEEE
15 years 11 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
FGR
2008
IEEE
188views Biometrics» more  FGR 2008»
15 years 4 months ago
Person-independent face tracking based on dynamic AAM selection
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
Akihiro Kobayashi, Junji Satake, Takatsugu Hirayam...
CVPR
2008
IEEE
15 years 11 months ago
Local minima free Parameterized Appearance Models
Parameterized Appearance Models (PAMs) (e.g. Eigentracking, Active Appearance Models, Morphable Models) are commonly used to model the appearance and shape variation of objects in...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2007
IEEE
15 years 11 months ago
Generic Face Alignment using Boosted Appearance Model
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
Xiaoming Liu 0002