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» Multi-Modal 2D and 3D Biometrics for Face Recognition
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ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Using partial information for face recognition and pose estimation
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
Antonio Rama, Francesc Tarres, Davide Onofrio, Ste...
CLEAR
2006
Springer
145views Biometrics» more  CLEAR 2006»
13 years 11 months ago
A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars
We present the IBM systems submitted and evaluated within the CLEAR'06 evaluation campaign for the tasks of single person visual 3D tracking (localization) and 2D face trackin...
Gerasimos Potamianos, ZhenQiu Zhang
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
14 years 1 months ago
Preliminary Face Recognition Grand Challenge Results
The goal of the Face Recognition Grand Challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in Face Recogni...
P. Jonathon Phillips, Patrick J. Flynn, W. Todd Sc...
AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
14 years 1 months ago
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of...
Rik Fransens, Christoph Strecha, Luc J. Van Gool