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CVPR
2005
IEEE
14 years 10 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
AMFG
2007
IEEE
238views Biometrics» more  AMFG 2007»
14 years 17 days ago
Towards Pose-Invariant 2D Face Classification for Surveillance
A key problem for "face in the crowd" recognition from existing surveillance cameras in public spaces (such as mass transit centres) is the issue of pose mismatches betwe...
Conrad Sanderson, Ting Shan, Brian C. Lovell
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
14 years 2 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
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
15 years 3 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
TIFS
2008
157views more  TIFS 2008»
13 years 8 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...