Sciweavers

CVPR
2006
IEEE
14 years 7 months ago
Optimal Pose for Face Recognition
Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and ...
Xiaoming Liu 0002, Jens Rittscher, Tsuhan Chen
CVPR
2006
IEEE
14 years 7 months ago
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
Most pose robust face verification algorithms, which employ 2D appearance, rely heavily on statistics gathered from offline databases containing ample facial appearance variation ...
Simon Lucey, Tsuhan Chen
CVPR
2005
IEEE
14 years 7 months ago
Overview of the Face Recognition Grand Challenge
Over the last couple of years, face recognition researchers have been developing new techniques. These developments are being fueled by advances in computer vision techniques, com...
P. Jonathon Phillips, Patrick J. Flynn, W. Todd Sc...
CVPR
2005
IEEE
14 years 7 months ago
Face Recognition Based on Frontal Views Generated from Non-Frontal Images
This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a Morphable Model of 3D faces that represents face-specific information...
Volker Blanz, Patrick Grother, P. Jonathon Phillip...
CVPR
2005
IEEE
14 years 7 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
CVPR
2004
IEEE
14 years 7 months ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang
CVPR
2003
IEEE
14 years 7 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
CVPR
2003
IEEE
14 years 7 months ago
Video-Based Face Recognition Using Adaptive Hidden Markov Models
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Xiaoming Liu 0002, Tsuhan Chen

2
posts
with
2661
views
943profile views Browse  My Posts »
hmrStudent, PhD
University of Louisville
hmr