Description of the Collection of Facial Images,
2007
Dataset, Faces.
HTML Version. Essex collection of faces. 395 people, 20 images each.
Annotated Facial Dataset,
2007
Dataset, Faces.
WWW Version.
Yale Face Database,
Online2006.
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HTML Version. And
5760 single light source images of 10 subjects each seen under
576 viewing conditions
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125 different faces each in 16 different camera
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HTML Version.
Dataset, Faces.
The CAS-PEAL Large-Scale Chinese Face Database
and Baseline Evaluations,
2004.
9,594 images of 1040 individuals (595 males and 445 females)
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Dataset, Faces.
MIT Face Recognition Database,
Online2000
Fi
Dataset, Faces.
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Code, Face Recognition. The four algorithms provided are principle components analysis (PCA),
a.k.a eigenfaces (
See also Eigenfaces for Recognition. ),
a combined principle components analysis and linear
discriminant analysis algorithm (PCA + LDA)
(
See also Discriminant Analysis of Principal Components for Face Recognition. ),
an intrapersonal/extrapersonal image difference classifier (IIDC),
(
See also Bayesian similarity measure for deformable image matching, A. )
and an
elastic bunch graph matching (EBGM) algorithm (
See also Face Recognition by Elastic Bunch Graph Matching. )
The PCA + LDA, IIDC,
and EBGM algorithms are based upon algorithms used in the FERET study
(
See also FERET Evaluation Methodology for Face-Recognition Algorithms, The. ).
BibRef
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BibRef
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System Design, Implementation and Evaluation,
Springer2007, ISBN 978-0-387-22372-8
WWW Version.
Survey, Face Recognition. Survey of various techniques:
The Human Face. Modeling and Prediction. Data Collection.
Face Representation. Face Recognition.
Face in A Crowd. 3D. Data Fusion. Denial and Deception.
Augmented Cognition. Performance Evaluation. Error Analysis.
Security and Privacy. e-Science and Computing.
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BibRef
0700
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Chellappa, R.[Rama],
Zhao, W.[Wenyi],
Unconstrained Face Recognition,
Springer2006, ISBN: 978-0-387-26407-3.
WWW Version. Collection of papers.
Preliminaries and Reviews. Fundamentals. Preliminaries and Reviews.
Face Recognition Under Variations. Symmetric Shape from Shading.
Generalized Photometric Stereo. Illuminating Light Field. Facial Aging.
Face Recognition Via Kernel Learning.
Probabilistic Distances in Reproducing Kernel Hilbert Space.
Matrix-Based Kernel Subspace Analysis.
Face Tracking and Recognition From Videos. Adaptive Visual Tracking.
Simultaneous Tracking and Recognition.
Probabilistic Identity Characterization.
Buy from Amazon: Unconstrained Face Recognition (KLUWER INTERNATIONAL SERIES ON BIOMETRICS)
BibRef
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07102D/3D face recognition; Face databases
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0507Evaluation of how you can recover the original data from the match scores,
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0409
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0206
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And:
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