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» Objective Functions for Feature Discrimination
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144
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FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
15 years 6 months ago
Affine Correspondence Based Head Pose Estimation for a Sequence of Images by Using a 3D Model
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
Guoyuan Liang, Hongbin Zha, Hong Liu
139
Voted
MICCAI
2005
Springer
16 years 3 months ago
Shape Modeling Using Automatic Landmarking
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
Jun Xie, Pheng-Ann Heng
ICML
2004
IEEE
16 years 3 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
139
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ICB
2009
Springer
134views Biometrics» more  ICB 2009»
15 years 9 months ago
A Model Based Approach for Expressions Invariant Face Recognition
This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequen...
Zahid Riaz, Christoph Mayer, Matthias Wimmer, Mich...
117
Voted
TOPLAS
2002
98views more  TOPLAS 2002»
15 years 2 months ago
Data abstraction and information hiding
traction and information hiding K. RUSTAN M. LEINO and GREG NELSON Compaq Systems Research Center er describes an approach for verifying programs in the presence of data abstractio...
K. Rustan M. Leino, Greg Nelson