Sciweavers

16 search results - page 1 / 4
» The FERET Evaluation Methodology for Face-Recognition Algori...
Sort
View
CVPR
1997
IEEE
13 years 9 months ago
The FERET Evaluation Methodology for Face-Recognition Algorithms
Two of the most critical requirementsin support of producing reliableface-recognition systems are a large database of facial images and a testing procedure to evaluate systems. Th...
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. R...
CVPR
2001
IEEE
14 years 6 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
FGR
2002
IEEE
186views Biometrics» more  FGR 2002»
13 years 9 months ago
Meta-Analysis of Face Recognition Algorithms
To obtain a quantitative assessment of the state of automatic face recognition, we performed a metaanalysis of performance results of face recognition algorithms in the literature...
P. Jonathon Phillips, Elaine M. Newton
MVA
2007
160views Computer Vision» more  MVA 2007»
13 years 6 months ago
Investigation of Color Spaces for Face Recognition
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
Seunghwan Yoo, Rae-Hong Park, Dong-Gyu Sim
TIFS
2008
157views more  TIFS 2008»
13 years 4 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, ...