21.2.1 Face Analysis, Evaluations, Databases of Images

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. First is 165 images.
HTML Version. And 5760 single light source images of 10 subjects each seen under 576 viewing conditions
HTML Version. Dataset, Faces. BibRef 0600

The University of Oulu Physics-Based Face Database,
2000. 125 different faces each in 16 different camera calibration and illumination conditions.
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) with varying Pose, Expression, Accessory, and Lighting
HTML Version. Dataset, Faces.

MIT Face Recognition Database,
Online2000 Fi Dataset, Faces.
HTML Version.
HTML Version. First one is small (19X19) images. Second one has training and test data. BibRef 0001

The UMIST Face Database,
1998. Face Recognition.
HTML Version. Dataset, Faces.

Equinox: Human Identification at a Distance,
HID. 2006. IR images available. Face Recognition.
HTML Version. Dataset, Faces.

NIST Mugshot Identification Database,
2002.
HTML Version. Dataset, Faces.

The ORL Database of Faces,
1992-1994. More recently called the AT&T database.
HTML Version. Dataset, Faces.

Peer, P.[Peter],
CVL Face Database,
Online1999. Dataset, Faces.
HTML Version. 114 people, 7 images each. BibRef 9900

POSTECH Face Database,
2001 Dataset, Faces. Dataset, Expressions. Dataset, Gesture.
HTML Version. A variety of datasets for face recognition, expression recognition, gesture recognition, and video surveillance. See also POSTECH face database (PF07) and performance evaluation, The.

Face Recognition Vendor Test 2006,
Online2006.
WWW Version. Dataset, Faces.
WWW Version. Results in February 2007. BibRef 0600

FacePix Database,
Online2009.
WWW Version. Dataset, Faces. 181 poses 1 degree apart plus lighting (direction) changes. See also Arizona State University. 0906
BibRef

Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.,
Labeled faces in the wild: A database for studying face recognition in unconstrained environments,
UMass2007, Technical Report 07-49. annotated faces captured from news articles on the web. Dataset, Faces.
WWW Version. Detected using: See also Robust Real-Time Face Detection. BibRef 0700

Robertson, G.[Graham], Craw, I.[Ian],
Testing Face Recognition Systems,
IVC(12), No. 9, November 1994, pp. 609-614.
WWW Version. BibRef 9411
Earlier: BMVC93(xx)
PDF Version. 9309
Aberdeen Univ. BibRef

Phillips, P.J., Moon, H.J., Rizvi, S.A., Rauss, P.J.,
The FERET Evaluation Methodology for Face-Recognition Algorithms,
PAMI(22), No. 10, October 2000, pp. 1090-1104.
IEEE Abstract. IEEE Top Reference.
WWW Version. Evaluation, Faces. Dataset, Faces. 0011
BibRef
Earlier: A1, A2, A4, A3: CVPR97(137-143).
IEEE Abstract. IEEE Top Reference.
WWW Version.
PDF Version. 9704
Evaluation; data. BibRef

Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.J.,
The FERET Database and Evaluation Procedure for Face-Recognition Algorithms,
IVC(16), No. 5, April 27 1998, pp. 295-306.
WWW Version. 9805
Evaluation, Faces. Dataset, Faces. BibRef

The FERET Database,
NIST1993.
WWW Version. Dataset, Faces. Old version. For Color -- See also Color FERET Database, The. See also National Institute of Standards and Technology (NIST) Intelligent Systems Division. BibRef 9300

The Color FERET Database,
NISTJanuary 2008.
WWW Version. Dataset, Faces. BibRef 0801

Rizvi, S.A., Phillips, P.J., Moon, H.J.,
The FERET Verification Testing Protocol for Face Recognition Algorithms,
AFGR98(48-53).
IEEE DOI Link
PDF Version. BibRef 9800

Quinn, G.[George], Grother, P.J.[Patrick J.],
False Matches and Non-independence of Face Recognition Scores,
BTAS08(1-5).
IEEE DOI Link 0809
BibRef

Phillips, P.J., Grother, P.J., Michaels, R., Blackburn, D., Tabassi, E., and Bone, J.,
FRVT 2002: Overview and Summary,
OnlineMarch 2003.
WWW Version. BibRef 0303

O'Toole, A.J.[Alice J.], Abdi, H.[Hervé], Jiang, F.[Fang], Phillips, P.J.[P. Jonathon],
Fusing Face-Verification Algorithms and Humans,
SMC-B(37), No. 5, October 2007, pp. 1149-1155.
IEEE DOI Link 0711
BibRef
Earlier: A1, A3, A2, A4:
Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,
ISVC06(II: 447-456).
Springer DOI Link 0611
BibRef

Chen, L.F.[Li-Fen], Liao, H.Y.M.[Hong-Yuan Mark], Lin, J.C.[Ja-Chen], Han, C.C.[Chin-Chuan],
Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof,
PR(34), No. 7, July 2001, pp. 1393-1403.
WWW Version. 0105
BibRef

Chen, L.F.[Li-Fen], Liao, H.Y.[Hong-Yuan], Chen, L.H.[Liang-Hua], Han, C.C.[Chin-Chuan], Lin, J.C.[Ja-Chen],
Why A Statistics-Based Face Recognition System Should Base Its Recognition on the Pure Face Portion: A Probabilistic Decision-Based Proof,
ICPR98(PRP1). 9808
Not online. BibRef

Heisele, B.[Bernd], Ho, P.[Purdy], Wu, J.[Jane], Poggio, T.[Tomaso],
Face recognition: component-based versus global approaches,
CVIU(91), No. 1-2, July-August 2003, pp. 6-21.
WWW Version. 0309
BibRef

Heisele, B.[Bernd], Ho, P.[Purdy], Poggio, T.[Tomaso],
Face Recognition with Support Vector Machines: Global versus Component-based Approach,
ICCV01(II: 688-694).
IEEE DOI Link 0106
BibRef

Heisele, B.[Bernd], Riskov, I.[Ivaylo], Morgenstern, C.[Christian],
Components for Object Detection and Identification,
CLOR06(225-237).
Springer DOI Link 0711
BibRef

Heisele, B., Koshizen, T.,
Components for face recognition,
AFGR04(153-158).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Heisele, B., Verri, A., Poggio, T.,
Learning and vision machines,
PIEEE(90), No. 7, July 2002, pp. 1164-1177.
IEEE DOI Link 0207
BibRef

Czyz, J.[Jacek], Kittler, J.V.[Josef V.], Vandendorpe, L.[Luc],
Multiple classifier combination for face-based identity verification,
PR(37), No. 7, July 2004, pp. 1459-1469.
WWW Version. 0405
Classifer Combinations. BibRef
Earlier:
Combining face verification experts,
ICPR02(II: 28-31).
IEEE DOI Link 0211
BibRef

Sadeghi, M.T.[Mohammad T.], Kittler, J.V.[Josef V.],
Confidence Based Gating of Multiple Face Authentication Experts,
SSPR06(667-676).
Springer DOI Link 0608
BibRef

Czyz, J.[Jacek], Sadeghi, M.T.[Mohammad T.], Kittler, J.V.[Josef V.], Vandendorpe, L.[Luc],
Decision Fusion for Face Authentication,
ICBA04(686-693).
WWW Version. 0505
BibRef

Ruiz-del-Solar, J., Navarrete, P.,
Eigenspace-based face recognition: a comparative study of different approaches,
SMC-C(35), No. 3, August 2005, pp. 315-325.
IEEE DOI Link 0508
BibRef
Earlier: A2, A1:
Eigenspace-based recognition of faces: comparisons and a new approach,
CIAP01(42-47).
IEEE Top Reference. 0210
BibRef

Lee, S.W.[Sang-Woong], Jung, H.C.[Ho-Cheol], Hwang, B.W.[Bon-Woo], Lee, S.W.[Seong-Whan],
Authenticating corrupted photo images based on noise parameter estimation,
PR(39), No. 5, May 2006, pp. 910-920.
WWW Version. 0604
BibRef
Earlier: A2, A3, A1, A4:
Corrupted Face Image Authentication Based on Noise Model,
ICBA04(187-194).
WWW Version. 0505
Photo image authentication; Noise model; Corrupted photo image; Noise parameter estimation BibRef

Lee, S.W.[Sang-Woong], Jung, H.C.[Ho-Choul], Lee, S.W.[Seong-Whan],
Authenticating Corrupted Facial Images on Stand-Alone DSP System,
AVBPA05(987).
Springer DOI Link 0509
BibRef

Jung, H.C.[Ho-Choul], Hwang, B.W.[Bon-Woo], Lee, S.W.[Seong-Whan],
Authenticating corrupted face image based on noise model,
AFGR04(272-277).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Orozco-Alzate, M.[Mauricio], Castellanos-Domínguez, C.G.[César Germán],
Comparison of the nearest feature classifiers for face recognition,
MVA(17), No. 5, October 2006, pp. 279-285.
Springer DOI Link 0609
BibRef

Orozco-Alzate, M.[Mauricio], Duin, R.P.W.[Robert P. W.], Castellanos-Domínguez, C.G.[César Germán],
A generalization of dissimilarity representations using feature lines and feature planes,
PRL(30), No. 3, 1 February 2009, pp. 242-254.
Elsevier DOI Link
WWW Version. 0804
BibRef
Earlier:
Generalizing Dissimilarity Representations Using Feature Lines,
CIARP07(370-379).
Springer DOI Link 0711
Dissimilarity; Representation; Feature lines; Feature planes; Generalization BibRef

Murakawa, A.[Akira],
Method for compiling an image database, an image database system, and an image data storage medium,
US_Patent6,549,913, Apr 15, 2003
WWW Version. faces BibRef 0304

Beveridge, J.R.[J. Ross], Bolme, D.S.[David S.], Draper, B.A.[Bruce A.], Teixeira, M.[Marcio],
The CSU Face Identification Evaluation System: Its purpose, features, and structure,
MVA(16), No. 2, February 2005, pp. 128-138.
Springer DOI Link 0501
Evaluation, Faces. BibRef
Earlier: A2, A1, A4, A3: CVS03(304 ff).
HTML Version. 0306

HTML Version. 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

Beveridge, J.R.[J. Ross], Givens, G.H.[Geof H.], Phillips, P.J.[P. Jonathon], Draper, B.A.[Bruce A.], Lui, Y.M.[Yui Man],
Focus on quality, predicting FRVT 2006 performance,
FG08(1-8).
IEEE DOI Link 0809
See also Face Recognition Vendor Test 2006. BibRef

Wang, P.[Peng], Ji, Q.A.[Qi-Ang], Wayman, J.L.[James L.],
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores,
PAMI(29), No. 4, April 2007, pp. 665-670.
IEEE DOI Link 0703
Define accuracy, consider intrinsic and extrinsic factors. Relate a perfect recognition to factors. BibRef

Wechsler, H.[Harry],
Reliable Face Recognition Methods: 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. To purchase this book look here BibRef 0700

O'Toole, A.J.[Alice J.], Phillips, P.J.[P. Jonathon], Jiang, F.[Fang], Ayyad, J.H.[Janet H.], Penard, N.[Nils], Abdi, H.[Herve],
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination,
PAMI(29), No. 9, September 2007, pp. 1642-1646.
IEEE DOI Link 0709
Rather than just with other computers, compare with human performance, which is not that great. BibRef

Ng, J.K.C.[Johnny K.C.], Zhong, Y.Z.[Yu-Zhuo], Yang, S.Q.A.[Shi-Qi-Ang],
A comparative study of Minimax Probability Machine-based approaches for face recognition,
PRL(28), No. 15, 1 November 2007, pp. 1995-2002.
WWW Version. 0711
Face recognition; Support Vector Machine; Minimax Probability Machine; Minimum Error Minimax Probability Machine BibRef

Zou, J., Ji, Q., Nagy, G.,
A Comparative Study of Local Matching Approach for Face Recognition,
IP(16), No. 10, October 2007, pp. 2617-2628.
IEEE DOI Link 0711
BibRef

Mohanty, P.K.[Pranab K.], Sarkar, S.[Sudeep], Kasturi, R.[Rangachar],
From Scores to Face Templates: A Model-Based Approach,
PAMI(29), No. 12, December 2007, pp. 2065-2078.
IEEE DOI Link 0711
BibRef
Earlier:
A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,
ICPR06(IV: 598-601).
WWW Version. 0609
BibRef
And:
Privacy & Security Issues Related to Match Scores,
PRIV06(162).
IEEE DOI Link 0609
BibRef
Earlier:
Designing Affine Transformations based Face Recognition Algorithms,
FRGC05(III: 173-173).
IEEE DOI Link 0507
Evaluation of how you can recover the original data from the match scores, and leads to a chance of break-in for a face based biometric system given a number of tests. BibRef

Shamir, L.[Lior],
Evaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI Link 0806
Results vary depending on the dataset, for some classification accuracy may range from about 14% for FERET to 99% for Yale. BibRef

Bourlai, T.[Thirimachos], Kittler, J.V.[Josef V.], Messer, K.[Kieron],
Designing a smart-card-based face verification system: Empirical investigation,
MVA(20), No. 4, June 2009, pp. xx-yy.
Springer DOI Link 0904
BibRef
Earlier:
Database Size Effects on Performance on a Smart Card Face Verification System,
FGR06(61-66).
IEEE DOI Link 0604
BibRef
And:
On Optimisation of Smart Card Face Verification Systems,
AVSBS06(80-80).
IEEE DOI Link 0611
BibRef
Earlier:
Scenario Based Performance Optimisation in Face Verification Using Smart Cards,
AVBPA05(289).
Springer DOI Link 0509
BibRef
Earlier:
Face verification system architecture using smart cards,
ICPR04(I: 793-796).
IEEE DOI Link 0409
BibRef
And:
Performance versus Computational Complexity Trade-Off in Face Verification,
ICBA04(169-177).
WWW Version. 0505
BibRef

Xu, C.H.[Cheng-Hua], Li, S.[Stan], Tan, T.N.[Tie-Niu], Quan, L.[Long],
Automatic 3D face recognition from depth and intensity Gabor features,
PR(42), No. 9, September 2009, pp. 1895-1905.
Elsevier DOI Link
WWW Version. 0905
3D face recognition; Feature sampling; Depth Gabor images; Feature selection; Fusion BibRef

Xu, C.H.[Cheng-Hua], Wang, Y.H.[Yun-Hong], Tan, T.N.[Tie-Niu], Quan, L.[Long],
Depth vs. intensity: which is more important for face recognition?,
ICPR04(I: 342-345).
IEEE DOI Link 0409
BibRef

Keil, M.S.[Matthias S.],
'I Look in Your Eyes, Honey': Internal Face Features Induce Spatial Frequency Preference for Human Face Processing,
CompBio(5), No. 3, e1000329.
WWW Version. 0907
Analysis of human vision in face recognition, eyes are the most important feature. BibRef

Zhang, X.Z.[Xiao-Zheng], Gao, Y.S.[Yong-Sheng],
Face recognition across pose: A review,
PR(42), No. 11, November 2009, pp. 2876-2896.
Elsevier DOI Link
WWW Version. 0907
Survey, Face Recognition. Face recognition; Pose variation; Survey; Review BibRef

Zhang, X.Z.[Xiao-Zheng], Zhao, S.Q.A.[San-Qi-Ang], Gao, Y.S.[Yong-Sheng],
On averaging face images for recognition under pose variations,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And: A2, A1, A3:
A comparative evaluation of Average Face on holistic and local face recognition approaches,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Jones, W.D.,
Plastic surgery 1, face recognition 0,
Spectrum(46), No. 9, September 2009, pp. 17-17.
IEEE DOI Link 0909
In the first test of face-recognition technology vs. cosmetic surgery, face recognition loses. BibRef

Kisku, D.R.[Dakshina R.], Tistarelli, M.[Massimo], Sing, J.K.[Jamuna Kanta], Gupta, P.[Phalguni],
Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,
Biometrics09(60-65).
IEEE DOI Link 0906
BibRef

Martínez-Contreras, F.[Francisco], Orrite-Uruñuela, C.[Carlos], Martínez-del-Rincón, J.[Jesús],
AdaBoost Multiple Feature Selection and Combination for Face Recognition,
IbPRIA09(338-345).
Springer DOI Link 0906
BibRef

Franco, A.[Annalisa], Maio, D.[Dario], Maltoni, D.[Davide],
The Big Brother Database: Evaluating Face Recognition in Smart Home Environments,
ICB09(142-150).
Springer DOI Link 0906
BibRef

Poh, N.[Norman], Chan, C.H.[Chi Ho], Kittler, J.V.[Josef V.], Marcel, S.[Sébastien], Cool, C.M.[Christopher Mc], Rúa, E.A.[Enrique Argones], Castro, J.L.A.[José Luis Alba], Villegas, M.[Mauricio], Paredes, R.[Roberto], Štruc, V.[Vitomir], Pavešic', N.[Nikola], Salah, A.A.[Albert Ali], Fang, H.[Hui], Costen, N.[Nicholas],
Face Video Competition,
ICB09(715-724).
Springer DOI Link 0906
BibRef

Yin, L.J.[Li-Jun], Chen, X.C.[Xiao-Chen], Sun, Y.[Yi], Worm, T.[Tony], Reale, M.[Michael],
A high-resolution 3D dynamic facial expression database,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Becker, B.C.[Brian C.], Ortiz, E.G.[Enrique G.],
Evaluation of face recognition techniques for application to facebook,
FG08(1-6).
IEEE DOI Link 0809
BibRef

O'Toole, A.J.[Alice J.], Phillips, P.J.[P. Jonathon], Narvekar, A.[Abhijit],
Humans versus algorithms: Comparisons from the Face Recognition Vendor Test 2006,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Lee, H.S.[Hyoung-Soo], Park, S.S.[Sung-Soo], Kang, B.N.[Bong-Nam], Shin, J.[Jongju], Lee, J.Y.[Ju-Young], Je, H.[Hongmo], Jun, B.J.[Bong-Jin], Kim, D.J.[Dai-Jin],
The POSTECH face database (PF07) and performance evaluation,
FG08(1-6).
IEEE DOI Link 0809
See also POSTECH Face Database. BibRef

Raghavendra, R., Rao, A.[Ashok], Hemantha Kumar, G.,
Subjective Performance of Texture Based Algorithm for Face Verification: The Role of Databases,
ICCVGIP08(421-428).
IEEE DOI Link 0812
BibRef

Pinto, N.[Nicolas], di Carlo, J.J.[James J.], Cox, D.D.[David D.],
How far can you get with a modern face recognition test set using only simple features?,
CVPR09(2591-2598).
IEEE DOI Link 0906
BibRef
Earlier:
Establishing Good Benchmarks and Baselines for Face Recognition,
Faces08(xx-yy). 0810
BibRef

Huang, G.B.[Gary B.], Jones, M.J.[Michael J.], Learned-Miller, E.[Erik],
LFW Results Using a Combined Nowak Plus MERL Recognizer,
Faces08(xx-yy). 0810
BibRef

Colineau, J.[Joseph], d'Hose, J.[Johan], Amor, B.B.[Boulbaba Ben], Ardabilian, M.[Mohsen], Chen, L.M.[Li-Ming], Dorizzi, B.[Bernadette],
3D Face Recognition Evaluation on Expressive Faces Using the IV 2 Database,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Bastanfard, A.[Azam], Nik, M.A.[Melika Abbasian], Dehshibi, M.M.[Mohammad Mahdi],
Iranian Face Database with age, pose and expression,
ICMV07(50-55).
IEEE DOI Link 0712
Dataset, Faces. BibRef

Ramanan, D.[Deva], Baker, S.[Simon], Kakade, S.[Sham],
Leveraging archival video for building face datasets,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Gao, X.F.[Xiu-Feng], Li, S.Z.[Stan Z.], Liu, R.[Rong], Zhang, P.R.[Pei-Ren],
Standardization of Face Image Sample Quality,
ICB07(242-251).
Springer DOI Link 0708
BibRef

Müller, M.K.[Marco K.], Heinrichs, A.[Alexander], Tewes, A.H.J.[Andreas H. J.], Schäfer, A.[Achim], Würtz, R.P.[Rolf P.],
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose,
ICB07(67-76).
Springer DOI Link 0708
BibRef

Queirolo, C.[Chaua], Segundo, M.P.[Mauricio P.], Bellon, O.R.P.[Olga R.P.], Silva, L.[Luciano],
Noise versus Facial Expression on 3D Face Recognition,
CIAP07(171-178).
IEEE DOI Link 0709
BibRef

Ho, W.H.[Wai Han], Watters, P.[Paul], Verity, D.[Dominic],
Are Younger People More Difficult to Identify or Just a Peer-to-Peer Effect,
CAIP07(351-359).
Springer DOI Link 0708
BibRef

Hu, Y.X.[Yu-Xiao], Zhang, Z.Q.[Zhen-Qiu], Xu, X.[Xun], Fu, Y.[Yun], Huang, T.S.[Thomas S.],
Building Large Scale 3D Face Database for Face Analysis,
MCAM07(343-350).
Springer DOI Link 0706
BibRef

Ho, W.H.[Wai Han], Watters, P.[Paul],
A New Performance Evaluation Method for Face Identification: Regression Analysis of Misidentification Risk,
CVPR07(1-6).
IEEE DOI Link 0706
BibRef

Ho, W.H.[Wai Han], Watters, P.[Paul], Verity, D.[Dominic],
Robustness of the New Owner-Tester Approach for Face Identification Experiments,
Biometrics07(1-6).
IEEE DOI Link 0706
BibRef

Zou, C.R.[Cai-Rong], Sun, N.[Ning], Ji, Z.H.[Zhen-Hai], Zhao, L.[Li],
2DCCA: A Novel Method for Small Sample Size Face Recognition,
WACV07(43-43).
IEEE DOI Link 0702
BibRef

Sakaue, F.[Fumihiko], Kobayashi, M.[Makoto], Migita, T.[Tsuyoshi], Shakunaga, T.[Takeshi],
A Real-life Test of Face Recognition System for Dialogue Interface Robot in Ubiquitous Environments,
ICPR06(III: 1155-1160).
WWW Version. 0609
BibRef

Yang, Q.[Qiong], Ding, X.Q.[Xiao-Qing], Tang, X.[Xiaoou],
Incorporating Generic Learning to Design Discriminative Classifier Adaptable for Unknown Subject in Face Verification,
Biometrics06(32).
IEEE DOI Link 0609
BibRef

Wang, P.[Peng], Ji, Q.A.[Qi-Ang],
Performance Modeling and Prediction of Face Recognition Systems,
CVPR06(II: 1566-1573).
IEEE DOI Link 0606
BibRef

Aggarwal, G., Biswas, S., Chellappa, R.,
UMD Experiments with FRGC Data,
FRGC05(III: 172-172).
IEEE DOI Link 0507
BibRef

Maurer, T., Guigonis, D., Maslov, I., Pesenti, B., Tsaregorodtsev, A., West, D., Medioni, G.,
Performance of Geometrix ActiveID(TM) 3D Face Recognition Engine on the FRGC Data,
FRGC05(III: 154-154).
IEEE DOI Link 0507
See also Geometrix. BibRef

Hamsici, O.C., Martynez, A.M.,
Evaluation of the Modelling of Local Areas and Errors of Localization in FRGC-05,
FRGC05(III: 162-162).
IEEE DOI Link 0507
BibRef

Xie, B.L.[Bing-Long], Ramesh, V.[Visvanathan], Zhu, Y.[Ying], Boult, T.E.[Terry E.],
On Channel Reliability Measure Training for Multi-Camera Face Recognition,
WACV07(41-41).
IEEE DOI Link 0702
BibRef

Boult, T.E.,
Robust Distance Measures for Face-Recognition Supporting Revocable Biometric Tokens.,
FGR06(560-566).
IEEE DOI Link 0604
BibRef

Ekenel, H.K.[Hazim Kemal], Szasz-Toth, L.[Lorant], Stiefelhagen, R.[Rainer],
Open-Set Face Recognition-Based Visitor Interface System,
CVS09(43-52).
Springer DOI Link 0910
BibRef

Stiefelhagen, R.[Rainer], Bernardin, K.[Keni], Ekenel, H.K.[Hazim K.], Voit, M.[Michael],
Tracking identities and attention in smart environments: Contributions and progress in the CHIL project,
FG08(1-8).
IEEE DOI Link 0809
BibRef

Ekenel, H.K., Pnevmatikakis, A.,
Video-Based Face Recognition Evaluation in the CHIL Project: Run 1,
FGR06(85-90).
IEEE DOI Link 0604
CHIL: Computers in the Human Interaction Loop (
WWW Version. ) BibRef

Llano, E.G.[Eduardo Garea], Kittler, J.V.[Josef V.], Messer, K.[Kieron], Vazquez, H.M.[Heydi Mendez],
A Comparative Study of Face Representations in the Frequency Domain,
CIARP06(99-108).
Springer DOI Link 0611
BibRef
Earlier: A1, A4, A2, A3:
An Illumination Insensitive Representation for Face Verification in the Frequency Domain,
ICPR06(I: 215-218).
WWW Version. 0609
BibRef

Messer, K.[Kieron], Kittler, J.V.[Josef V.], Short, J.[James], Heusch, G., Cardinaux, F.[Fabien], Marcel, S.[Sebastien], Rodriguez, Y.[Yann], Shan, S.G.[Shi-Guang], Su, Y., Gao, W.[Wen], Chen, X.,
Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,
ICB06(1-11).
Springer DOI Link 0601
BibRef

Li, C.C.[Cong-Cong], Su, G.D.[Guang-Da], Meng, K.[Kai], Zhou, J.[Jun],
Technology Evaluations on the TH-FACE Recognition System,
ICB06(589-597).
Springer DOI Link 0601
BibRef

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Messer, K.[Kieron], Kittler, J.V.[Josef V.], Sadeghi, M.T.[Mohammad T.], Hamouz, M.[Miroslav], Kostyn, A.[Alexey], Marcel, S.[Sebastien], Bengio, S.[Samy], Cardinaux, F.[Fabien], Sanderson, C.[Conrad], Poh, N.[Norman], Rodriguez, Y.[Yann], Kryszczuk, K.[Krzysztof], Czyz, J.[Jacek], Vandendorpe, L., Ng, J.[Johnny], Cheung, H.[Humphrey], Tang, B.[Billy],
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Multi-frame Approaches To Improve Face Recognition,
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Givens, G., Beveridge, J.R., Draper, B.A., Grother, P.J., Phillips, P.J.,
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Rukhin, A., Grother, P.J., Phillips, P.J., Leigh, S., Heckert, A., Newton, E.M.,
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Givens, G.H., Beveridge, J.R., Draper, B.A., Phillips, P.J.,
Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance,
EEMCV05(III: 40-40).
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Gupta, H., Agrawal, A.K., Pruthi, T., Shekhar, C., Chellappa, R.,
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Phillips, P.J., Newton, E.M.,
Meta-analysis of Face Recognition Algorithms,
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AFGR02(28-33).
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Yacoob, Y., Davis, L.S.,
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AFGR02(52-57).
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Face Recognition Issues in a Border Control Environment,
ICB06(33-39).
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Wallhoff, F., Eickeler, S., Rigoll, G.,
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ICIP01(II: 685-688).
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Eickeler, S.[Stefan], Jabs, M.[Mirco], Rigoll, G.[Gerhard],
Comparison of Confidence Measures for Face Recognition,
AFGR00(257-262).
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Alvira, M.[Mariano], Rifkin, R.[Ryan],
An Empirical Comparison of SNoW and SVMs for Face Detection,
MIT AI Memo-2001-004, January 2001.
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Matas, J., Hamouz, M., Jonsson, K., Kittler, J.V., Li, Y., Kotropoulos, C., Tefas, A., Pitas, I., Tan, T., Yan, H., Smeraldi, F., Bigün, J., Capdevielle, N., Gerstner, W., Ben-Yacoub, S., Abdeljaoued, Y., Mayoraz, E.,
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Varsta, M., Heikkonen, J., Millán, J.D.R.[Jose Del R.], Mouriño, J.,
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Sukthankar, G.,
Face Recognition: A Critical Look at Biologically-Inspired Approaches,
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Bruce, V.[Vicki], Burton, A.M.[A. Mike], Hancock, P.J.B.[Peter J.B.],
Comparisons between Human and Computer Recognition of Faces,
AFGR98(408-413).
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Li, S.Z., Lu, J.,
Generalizing Capacity of Face Database for Face Recognition,
AFGR98(402-406).
IEEE DOI Link BibRef 9800

Nakatsu, R.[Ryohei],
Nonverbal Information Recognition and Its Application to Communications,
AFGR98(2-7).
IEEE DOI Link BibRef 9800

Loui, A.C., Judice, C.N., Liu, S.[Sheng],
An image database for benchmarking of automatic face detection and recognition algorithms,
ICIP98(I: 146-150).
IEEE DOI Link 9810
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Ramsay, C.S., Sutherland, K., Renshaw, D., Denyer, P.B.,
A Comparison of Vector Quantization Codebook Generation Algorithms Applied to Automatic Face Recognition,
BMVC92(xx-yy).
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, General Papers, Surveys .