21.2.1 Face Analysis, Evaluations, Benchmarks, Databases of Images

Chapter Contents (Back)
Face Recognition. Application, Faces. Survey, Face Recognition. Evaluation, Faces. See also Face Analysis, General Papers, Surveys.

300 Videos in the Wild,
2015 Dataset, Faces.
WWW Link. Used for the ICCV 2015 workshop challenge.

WIDER Attribute dataset,
2016.
WWW Link. Dataset, Faces. See also Human Attribute Recognition by Deep Hierarchical Contexts.

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 Link.

The CMU Multi-PIE Face Database,
2010 Dataset, Faces.
WWW Link. It contains 337 subjects, captured under 15 view points and 19 illumination conditions in four recording sessions for a total of more than 750,000 images.

FaceScrub Annotated Face Dataset,
2014 Dataset, Faces.
HTML Version. 100,000 images of 530 people. Acquired from internet search with rejection of pictures that do not match. See also data-driven approach to cleaning large face datasets, A.

GVVPerfcapEva Repository of Evaluation Data Sets,
2015 Dataset, Faces. Dataset, Human Motion. Dataset, Hand Tracking.
WWW Link. A set of dataset including:

GVVPerfCapEva: IDT - Full body skeletal motion capture results from from 
    body-worn inertial sensor data and depth camera recordings
GVVPerfCapEva: Dexter 1: Evaluation data set for 3D hand tracking with 
    depth and multi-view video data
GVVPerfCapEva: PDT 2013: Body shape estimation and real-time motion 
    capture with a depth camera
GVVPerfcapEva: BinoCap - Dense 3D full-body performance capture with 
    handheld stereo cameras (single + multiple person(s))
GVVPerfcapEva: MonFacecCap - Monocular dense face performance capture
GVVPerfCapEva: MVIC - markerless multi-view performance capture of 
    multiple interacting characters
GVVPerfCapEva: HKIC: Performance capture of interacting characters with 
    handheld Kinects

MPII Human Shape,
2015 Dataset, Human Pose.
WWW Link. Expressive 3D human body shape models and tools for human shape space building.

UB KinFace Database,
2011 Dataset, Faces.
HTML 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.
WWW Link. Dataset, Faces.

The University of Oulu Face Video Database,
2002.
WWW Link. 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.

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

IARPA Janus Benchmark A (IJB-A) dataset,
2017.
WWW Link. 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 Link. Dataset, Faces.
WWW Link. Results in February 2007. BibRef 0600

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

Jain, V.[Vidit], Learned-Miller, E.G.[Erick G.],
FDDB: Face Detection Data Set and Benchmark,
UMass2010, Technical Report 2010-009.
WWW Link. Dataset, Faces. annotations for 5171 faces in a set of 2845 images. Subset of See also Labeled faces in the wild: A database for studying face recognition in unconstrained environments. BibRef 1000

Yamaguchi, K.[Kota], Berg, A.C.[Alexander C.], Ortiz, L.E.[Luis E.], Berg, T.L.[Tamara L.],
Who are you with and where are you going?,
CVPR11(1345-1352).
IEEE DOI 1106
BibRef

Huang, G.B., Ramesh, M., Berg, T.L., Learned-Miller, E.G.,
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 Link. 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 Link. BibRef 9411
Earlier: BMVC93(xx)
PDF File. 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 DOI Evaluation, Faces. Dataset, Faces. 0011
BibRef
Earlier: A1, A2, A4, A3: CVPR97(137-143).
IEEE DOI
PDF File. 9704
Evaluation; data. BibRef

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

The FERET Database,
NIST1993.
WWW Link. 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 Link. 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
PDF File. BibRef 9800

Quinn, G.[George], Grother, P.J.[Patrick J.],
False Matches and Non-independence of Face Recognition Scores,
BTAS08(1-5).
IEEE DOI 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 Link. 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 0711
BibRef
Earlier: A1, A3, A2, A4:
Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,
ISVC06(II: 447-456).
Springer DOI 0611
BibRef

Beveridge, J.R.[J. Ross], Givens, G.H.[Geof H.], Phillips, P.J.[P. Jonathon], Draper, B.A.[Bruce A.],
Factors that influence algorithm performance in the Face Recognition Grand Challenge,
CVIU(113), No. 6, June 2009, pp. 750-762.
Elsevier DOI 0904
Face recognition; Subject covariates; Performance analysis; Statistical modeling BibRef

Phillips, P.J.[P. Jonathon], Yates, A.N., Beveridge, J.R.[J. Ross], Givens, G.H.[Geof H.],
Predicting Face Recognition Performance in Unconstrained Environments,
Biometrics17(557-565)
IEEE DOI 1709
Algorithm design and analysis, Cameras, Face, Face recognition, Prediction algorithms, Videos BibRef

Bolme, D.S.[David S.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.],
FaceL: Facile Face Labeling,
CVS09(21-32).
Springer DOI 0910
BibRef

Givens, G.H.[Geof H.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.], Bolme, D.S.[David S.],
Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm,
AMDO04(1-11).
Springer DOI 0505
BibRef

Givens, G.H.[Geof H.], Beveridge, J.R.[J. Ross], Draper, B.A., Phillips, P.J.[P. Jonathon],
Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance,
EEMCV05(III: 40-40).
IEEE DOI 0507
BibRef

Givens, G., Beveridge, J.R., Draper, B.A., Grother, P.J., Phillips, P.J.,
How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,
CVPR04(II: 381-388).
IEEE DOI 0408
BibRef

Rukhin, A., Grother, P.J., Phillips, P.J., Leigh, S., Heckert, A., Newton, E.M.,
Dependence characteristics of face recognition algorithms,
ICPR02(II: 36-39).
IEEE DOI 0211
BibRef

Phillips, P.J.[P. Jonathon], Grother, P.J.[Patrick J.], Micheals, R.J.[Ross J.], Blackburn, D.M., Tabassi, E., Bone, M.,
Face recognition vendor test 2002,
AMFG03(44-44).
IEEE Abstract. 0311
BibRef
Earlier: A2, A3, A1, Only:
Face Recognition Vendor Test 2002 Performance Metrics,
AVBPA03(937-945).
Springer DOI 0310
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 Link. 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 Link. 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 0106
BibRef

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

Heisele, B.[Bernd], Koshizen, T.,
Components for face recognition,
AFGR04(153-158).
WWW Link. 0411
BibRef

Heisele, B., Verri, A., Poggio, T.,
Learning and vision machines,
PIEEE(90), No. 7, July 2002, pp. 1164-1177.
IEEE DOI 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 Link. 0405
Classifer Combinations. BibRef
Earlier:
Combining face verification experts,
ICPR02(II: 28-31).
IEEE DOI 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 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).
Springer DOI 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 0508
BibRef
Earlier: A2, A1:
Eigenspace-based recognition of faces: comparisons and a new approach,
CIAP01(42-47).
WWW Link. 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 Link. 0604
BibRef
Earlier: A2, A3, A1, A4:
Corrupted Face Image Authentication Based on Noise Model,
ICBA04(187-194).
Springer DOI 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 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).
WWW Link. 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 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 0804
BibRef
Earlier:
Generalizing Dissimilarity Representations Using Feature Lines,
CIARP07(370-379).
Springer DOI 0711
Dissimilarity; Representation; Feature lines; Feature planes; Generalization BibRef

Ruiz-Muñoz, J.F.[José Francisco], Orozco-Alzate, M.[Mauricio], Castellanos-Domínguez, C.G.[César Germán],
Feature and Dissimilarity Representations for the Sound-Based Recognition of Bird Species,
CIARP11(451-458).
Springer DOI 1111
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 Link. 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 0501
Evaluation, Faces. BibRef
Earlier: A2, A1, A4, A3: CVS03(304 ff).
Springer DOI
HTML Version. 0306
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.], Bolme, D.S.[David S.], Lui, Y.M.[Yui Man],
FRVT 2006: Quo Vadis face quality,
IVC(28), No. 5, May 2010, pp. 732-743.
Elsevier DOI 1003
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Focus on quality, predicting FRVT 2006 performance,
FG08(1-8).
IEEE DOI 0809
See also Face Recognition Vendor Test 2006. Face recognition; Generalized linear mixed models; Image covariates; Biometric quality Report on FRVT evaluations. BibRef

Phillips, P.J.[P. Jonathon], Scruggs, W.T.[W. Todd], O'Toole, A.J.[Alice J.], Flynn, P.J.[Patrick J.], Bowyer, K.W.[Kevin W.], Schott, C.L.[Cathy L.], Sharpe, M.[Matthew],
FRVT 2006 and ICE 2006 Large-Scale Experimental Results,
PAMI(32), No. 5, May 2010, pp. 831-846.
IEEE DOI 1003
Survey, Face Recognition. Evaluation, Face Recognition. From 2 large 2006 challange tests. In 2006, the best algorithms were better than people on unfamiliar faces. 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 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 Link. 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. Buy this book: Reliable Face Recognition Methods: System Design, Implementation and Evaluation (International Series on Biometrics) 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 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.[Shi-Qiang],
A comparative study of Minimax Probability Machine-based approaches for face recognition,
PRL(28), No. 15, 1 November 2007, pp. 1995-2002.
WWW Link. 0711
Face recognition; Support Vector Machine; Minimax Probability Machine; Minimum Error Minimax Probability Machine BibRef

Zou, J.[Jie], Ji, Q., Nagy, G.[George],
A Comparative Study of Local Matching Approach for Face Recognition,
IP(16), No. 10, October 2007, pp. 2617-2628.
IEEE DOI 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 0711
BibRef
Earlier:
A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,
ICPR06(IV: 598-601).
IEEE DOI 0609
BibRef
And:
Privacy and Security Issues Related to Match Scores,
PRIV06(162).
IEEE DOI 0609
BibRef
Earlier:
Designing Affine Transformations based Face Recognition Algorithms,
FRGC05(III: 173-173).
IEEE DOI 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 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 0904
BibRef
Earlier:
Database Size Effects on Performance on a Smart Card Face Verification System,
FGR06(61-66).
IEEE DOI 0604
BibRef
Earlier:
Scenario Based Performance Optimisation in Face Verification Using Smart Cards,
AVBPA05(289).
Springer DOI 0509
BibRef
Earlier:
Face verification system architecture using smart cards,
ICPR04(I: 793-796).
IEEE DOI 0409
BibRef
And:
Performance versus Computational Complexity Trade-Off in Face Verification,
ICBA04(169-177).
Springer DOI 0505
BibRef

Bourlai, T.[Thirimachos], Kittler, J.V.[Josef V.], Messer, K.[Kieron],
On design and optimization of face verification systems that are smart-card based,
MVA(21), No. 5, August 2010, pp. 695-711.
WWW Link. 1011
BibRef
Earlier:
On Optimisation of Smart Card Face Verification Systems,
AVSBS06(80-80).
IEEE DOI 0611
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 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 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.
DOI Link 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 0907
Survey, Face Recognition. Face recognition; Pose variation; Survey; Review BibRef

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

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

Zhang, Y.[Yin], Zhou, Z.H.[Zhi-Hua],
Cost-Sensitive Face Recognition,
PAMI(32), No. 10, October 2010, pp. 1758-1769.
IEEE DOI 1008
I.e. some errors cost more than others -- (e.g. admit the wrong person vs. failure to admit the right person, may be situation sensitive also). Use this idea for a multiclass learning task. BibRef

Akgul, T.,
Can an Algorithm Recognize Montage Portraits as Human Faces?,
SPMag(28), No. 1, 2011, pp. 160-158.
IEEE DOI 1101
In the Spotlight section. BibRef

Phillips, P.J.[P. Jonathon],
Improving Face Recognition Technology,
Computer(44), No. 3, March 2011, pp. 84-86.
IEEE DOI 1103
Survey, Face Recognition. Describes the great improvemnt in results for the various face recognition tests over a number of years. BibRef

Castrillón-Santana, M.[Modesto], Déniz-Suárez, O.[Oscar], Hernández-Sosa, D.[Daniel], Lorenzo-Navarro, J.[Javier],
A comparison of face and facial feature detectors based on the Viola-Jones general object detection framework,
MVA(22), No. 3, May 2011, pp. 481-494.
WWW Link. 1104
See also Robust Real-Time Face Detection. BibRef

Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Hernández-Sosa, D.[Daniel], Rodríguez-Domínguez, Y.[Yeray],
An Analysis of Facial Description in Static Images and Video Streams,
IbPRIA05(I:461).
Springer DOI 0509
BibRef

Charette, R.[Robert],
Here's Looking at You, and You, and You ...,
IEEE Spectrum BlogMon, July 25, 2011.
WWW Link. Boston is using face recognition software on red light cameras, but there are mistakes. BibRef 1107

Wong, Y.W.[Yee Wan], Ch'ng, S.I.[Sue Inn], Seng, K.P.[Kah Phooi], Ang, L.M.[Li-Minn], Chin, S.W.[Siew Wen], Chew, W.J.[Wei Jen], Lim, K.H.[King Hann],
A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities,
PRL(32), No. 13, 1 October 2011, pp. 1503-1510.
Elsevier DOI 1109
Dataset, Faces. Audio-visual database; Face recognition; Speech recognition; Visual variation BibRef

Crawford, M.[Mark],
Facial recognition progress report,
SPIE(Newsroom), September 28, 2011
DOI Link 1110
New algorithms have increased accuracy dramatically, but overcoming a host of variables in unconstrained settings is still the biggest challenge in facial recognition. BibRef

Phillips, P.J.[P. Jonathon], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.], Givens, G.[Geof], O'Toole, A.J.[Alice J.], Bolme, D.S.[David S.], Dunlop, J.[Joseph], Lui, Y.M.[Yui Man], Sahibzada, H.[Hassan], Weimer, S.[Samuel],
The Good, the Bad, and the Ugly Face Challenge Problem,
IVC(30), No. 3, March 2012, pp. 177-185.
Elsevier DOI 1204
BibRef
Earlier:
An introduction to the good, the bad, and the ugly face recognition challenge problem,
FG11(346-353).
IEEE DOI 1103
Face recognition; Challenge problem BibRef

Pinto, N.[Nicolas], Cox, D.D.[David D.],
High-throughput-derived biologically-inspired features for unconstrained face recognition,
IVC(30), No. 3, March 2012, pp. 159-168.
Elsevier DOI 1204
BibRef
Earlier: A2, A1:
Beyond simple features: A large-scale feature search approach to unconstrained face recognition,
FG11(8-15).
IEEE DOI 1103
Face recognition; Biologically-inspired BibRef

Pinto, N.[Nicolas], Barhomi, Y.[Youssef], Cox, D.D.[David D.], di Carlo, J.J.[James J.],
Comparing state-of-the-art visual features on invariant object recognition tasks,
WACV11(463-470).
IEEE DOI 1101
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How far can you get with a modern face recognition test set using only simple features?,
CVPR09(2591-2598).
IEEE DOI 0906
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Earlier:
Establishing Good Benchmarks and Baselines for Face Recognition,
Faces08(xx-yy). 0810
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Chiachia, G.[Giovani], Pinto, N.[Nicolas], Schwartz, W.[William], Rocha, A.[Anderson], Falcão, A.[Alexandre], Cox, D.D.[David D.],
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Elsevier DOI 1208
Factor analysis; Face recognition; Manifold learning; Generative models; Probabilistic inference BibRef

Sariyanidi, E.[Evangelos], Tunç, B.[Birkan], Gökmen, M.[Muhittin],
LZM in Action: Realtime Face Recognition System,
ECCVDemos12(III: 647-650).
Springer DOI 1210
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Sapkota, A.[Archana], Boult, T.E.[Terrance E.],
GRAB: Generalized Region Assigned to Binary,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1306
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Sapkota, A.[Archana], Parks, B.C.[Brian C.], Scheirer, W.J.[Walter J.], Boult, T.E.[Terrance E.],
FACE-GRAB: Face recognition with General Region Assigned to Binary operator,
Biometrics10(82-89).
IEEE DOI 1006
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Scheirer, W.J.[Walter J.], de Rezende Rocha, A., Sapkota, A.[Archana], Boult, T.E.[Terrance E.],
Toward Open Set Recognition,
PAMI(35), No. 7, 2013, pp. 1757-1772.
IEEE DOI 1307
1-class SVMf; face matching BibRef

Ortiz, E.G.[Enrique G.], Becker, B.C.[Brian C.],
Face recognition for web-scale datasets,
CVIU(118), No. 1, 2014, pp. 153-170.
Elsevier DOI 1312
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Earlier: A2, A1:
Evaluating Open-Universe Face Identification on the Web,
AMFG13(904-911)
IEEE DOI 1309
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Earlier: A2, A1:
Evaluation of face recognition techniques for application to facebook,
FG08(1-6).
IEEE DOI 0809
Open-universe face recognition. face identification BibRef

Klontz, J.C., Jain, A.K.,
A Case Study of Automated Face Recognition: The Boston Marathon Bombings Suspects,
Computer(46), No. 11, November 2013, pp. 91-94.
IEEE DOI 1402
face recognition BibRef

Mavadati, S.M.[S. Mohammad], Mahoor, M.H.[Mohammad H.], Bartlett, K.[Kevin], Trinh, P.[Philip], Cohn, J.F.[Jeffrey F.],
DISFA: A Spontaneous Facial Action Intensity Database,
AffCom(4), No. 2, 2013, pp. 151-160.
IEEE DOI 1307
Dataset, Facial Action. Databases BibRef

Mavadati, S.M.[S. Mohammad], Sanger, P., Mahoor, M.H.[Mohammad H.],
Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions,
Affect16(1452-1459)
IEEE DOI 1612
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Hsu, G.S.[Gee-Sern], Chu, T.Y.[Tsu-Ying],
A Framework for Making Face Detection Benchmark Databases,
CirSysVideo(24), No. 2, February 2014, pp. 230-241.
IEEE DOI 1403
benchmark testing BibRef

Zhang, X.[Xing], Yin, L.J.[Li-Jun], Cohn, J.F.[Jeffrey F.], Canavan, S.[Shaun], Reale, M.[Michael], Horowitz, A.[Andy], Liu, P.[Peng], Girard, J.M.[Jeffrey M.],
BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database,
IVC(32), No. 10, 2014, pp. 692-706.
Elsevier DOI 1410
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Earlier: A1, A2, A3, A4, A5, A6, A7, Only:
A high-resolution spontaneous 3D dynamic facial expression database,
FG13(1-6)
IEEE DOI 1309
Dataset, Facial Expressions. emotion recognition 3D facial expression 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 0809
Dataset, Facial Expressions. BibRef

Chen, J.S.[Jian-Sheng], Deng, Y.[Yu], Bai, G.C.[Gao-Cheng], Su, G.D.[Guang-Da],
Face Image Quality Assessment Based on Learning to Rank,
SPLetters(22), No. 1, January 2015, pp. 90-94.
IEEE DOI 1410
face recognition BibRef

Xu, Y.[Yong], Fang, X.Z.[Xiao-Zhao], Li, X.L.[Xue-Long], Yang, J.[Jiang], You, J., Liu, H.[Hong], Teng, S.H.[Shao-Hua],
Data Uncertainty in Face Recognition,
Cyber(44), No. 10, October 2014, pp. 1950-1961.
IEEE DOI 1410
face recognition BibRef

Abaza, A.[Ayman], Harrison, M.A.[Mary Ann], Bourlai, T.[Thirimachos], Ross, A.,
Design and evaluation of photometric image quality measures for effective face recognition,
IET-Bio(3), No. 4, 2014, pp. 314-324.
DOI Link 1504
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Earlier: A1, A2, A3:
Quality metrics for practical face recognition,
ICPR12(3103-3107).
WWW Link. 1302
design engineering BibRef

Mandasari, M.I., Gunther, M., Wallace, R., Saeidi, R., Marcel, S., van Leeuwen, D.A.,
Score calibration in face recognition,
IET-Bio(3), No. 4, 2014, pp. 246-256.
DOI Link 1504
biometrics (access control) BibRef

Hassaballah, M., Aly, S.,
Face recognition: challenges, achievements and future directions,
IET-CV(9), No. 4, 2015, pp. 614-626.
DOI Link 1509
face recognition BibRef

Tsifouti, A., Triantaphillidou, S., Larabi, M.C., Bilissi, E., Psarrou, A.,
A case study in identifying acceptable bitrates for human face recognition tasks,
SP:IC(36), No. 1, 2015, pp. 14-28.
Elsevier DOI 1509
CCTV recording systems BibRef

Alsalibi, B.[Bisan], Venkat, I.[Ibrahim], Subramanian, K.G., Lutfi, S.L.[Syaheerah Lebai], De Wilde, P.[Philippe],
The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition,
Surveys(48), No. 1, August 2015, pp. 5:1-5:33.
DOI Link 1511
Survey, Face Recongition. Face recognition BibRef

Mahmood, Z., Ali, T., Khan, S.U.,
Effects of pose and image resolution on automatic face recognition,
IET-Bio(5), No. 2, 2016, pp. 111-119.
DOI Link 1606
biometrics (access control) BibRef

Strickland, E.,
Face recognition tech goes on trial,
Spectrum(54), No. 1, January 2017, pp. 40-41.
IEEE DOI 1702
[Top Tech 2017] face recognition BibRef

Chen, L.[Liang], Hassanpour, N.[Negar],
Survey: How good are the current advances in image set based face identification?: Experiments on three popular benchmarks with a naïve approach,
CVIU(160), No. 1, 2017, pp. 1-23.
Elsevier DOI 1706
Face, identification BibRef


Whitelam, C., Taborsky, E., Blanton, A., Maze, B., Adams, J., Miller, T., Kalka, N., Jain, A.K., Duncan, J.A., Allen, K., Cheney, J., Grother, P.,
IARPA Janus Benchmark-B Face Dataset,
Biometrics17(592-600)
IEEE DOI 1709
Dataset, Faces. Benchmark testing, Face, Face detection, Face recognition, Media, Protocols, Videos See also IARPA Janus Benchmark A (IJB-A) dataset. BibRef

Liu, X.[Xin], Kan, M.[Meina], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning,
FG17(544-550)
IEEE DOI 1707
Face, Face recognition, Nickel, Noise measurement, Robustness, Search engines, Visualization BibRef

Hassanpour, N.[Negar], Chen, L.[Liang],
A Quantum Probability Inspired Framework for Image-Set Based Face Identification,
FG17(551-557)
IEEE DOI 1707
Face, Hilbert space, Quantum computing, Quantum mechanics, Silicon, Uncertainty BibRef

Phillips, P.J.[P. Jonathon],
A Cross Benchmark Assessment of a Deep Convolutional Neural Network for Face Recognition,
FG17(705-710)
IEEE DOI 1707
Algorithm design and analysis, Benchmark testing, Face, Face recognition, Lighting, NIST, Partitioning, algorithms BibRef

Zuo, H., Wang, L., Qin, J.,
XJU1: A Chinese Ethnic Minorities Face Database,
CMVIT17(7-11)
IEEE DOI 1704
face recognition BibRef

Gilani, S.Z.[Syed Zulqarnain], Mian, A.S.[Ajmal S.],
Towards Large-Scale 3D Face Recognition,
DICTA16(1-8)
IEEE DOI 1701
Databases. Recognition rates drop as size of dataset increases. BibRef

Gorodnichy, D.O.[Dmitry O.], Bissessar, D.[David], Granger, E.[Eric], Laganiére, R.[Robert],
Recognizing People and Their Activities in Surveillance Video: Technology State of Readiness and Roadmap,
CRV16(250-259)
IEEE DOI 1612
Face BibRef

Escalera, S., Torres, M.T., Martínez, B., Baró, X., Escalante, H.J., Guyon, I., Tzimiropoulos, G., Corneanu, C.A., Oliu Simón, M.[Marc], Bagheri, M.A., Valstar, M.,
ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016,
ChaLearn16(706-713)
IEEE DOI 1612
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de Freitas Pereira, T.[Tiago], Marcel, S.[Sebastien],
Heterogeneous Face Recognition Using Inter-Session Variability Modelling,
Biometrics16(179-186)
IEEE DOI 1612
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Blanton, A., Allen, K.C., Miller, T., Kalka, N.D., Jain, A.K.,
A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets,
Biometrics16(229-236)
IEEE DOI 1612
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Adams, J.C., Allen, K.C., Miller, T., Kalka, N.D.[Nathan D.], Jain, A.K.,
Grouper: Optimizing Crowdsourced Face Annotations,
Biometrics16(163-170)
IEEE DOI 1612
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Kemelmacher-Shlizerman, I., Seitz, S.M., Miller, D., Brossard, E.,
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,
CVPR16(4873-4882)
IEEE DOI 1612
Dataset, Face Recognition. BibRef

Li, Y.N.[Yi-Ning], Huang, C.[Chen], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Human Attribute Recognition by Deep Hierarchical Contexts,
ECCV16(VI: 684-700).
Springer DOI 1611
See also WIDER Attribute dataset. BibRef

Guo, Y.D.[Yan-Dong], Zhang, L.[Lei], Hu, Y.X.[Yu-Xiao], He, X.D.[Xiao-Dong], Gao, J.F.[Jian-Feng],
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,
ECCV16(III: 87-102).
Springer DOI 1611
Dataset, Face Recognition.
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Fedorovf, I.[Igor], Giri, R.[Ritwik], Rao, B.D.[Bhaskar D.], Nguyen, T.Q.[Truong Q.],
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition,
ICIP16(3872-3876)
IEEE DOI 1610
Bayes methods BibRef

Iliadis, M.[Michael], Spinoulas, L.[Leonidas], Berahas, A.S.[Albert S.], Wang, H.H.[Hao-Hong], Katsaggelos, A.K.[Aggelos K.],
Multi-model robust error correction for face recognition,
ICIP16(3229-3233)
IEEE DOI 1610
Error correction BibRef

Yadav, D., Kohli, N., Pandey, P., Singh, R., Vatsa, M., Noore, A.,
Effect of illicit drug abuse on face recognition,
WACV16(1-7)
IEEE DOI 1606
Databases BibRef

Ginosar, S., Rakelly, K., Sachs, S., Yin, B., Efros, A.A.[Alexei A.],
A Century of Portraits: A Visual Historical Record of American High School Yearbooks,
Extreme15(652-658)
IEEE DOI 1602
Cameras BibRef

Herrmann, C.[Christian], Qu, C.[Chengchao], Willersinn, D.[Dieter], Beyerer, J.[Jurgen],
Impact of resolution and image quality on video face analysis,
AVSS15(1-6)
IEEE DOI 1511
Degradation BibRef

Juefei-Xu, F.[Felix], Pal, D.K.[Dipan K.], Singh, K.[Karanhaar], Savvides, M.[Marios],
A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions,
Biometrics15(25-33)
IEEE DOI 1510
Databases BibRef

Klare, B.F.[Brendan F.], Klein, B.[Ben], Taborsky, E.[Emma], Blanton, A.[Austin], Cheney, J.[Jordan], Allen, K.[Kristen], Grother, P.[Patrick], Mah, A.[Alan], Burge, M.[Mark], Jain, A.K.[Anil K.],
Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A,
CVPR15(1931-1939)
IEEE DOI 1510
Dataset, Face Recognition. BibRef

Schumacher, M.[Matthaeus], Blanz, V.[Volker],
Exploration of the correlations of attributes and features in faces,
FG15(1-8)
IEEE DOI 1508
correlation methods BibRef

Beveridge, J.R., Zhang, H.[Hao], Draper, B.A., Flynn, P.J., Feng, Z.H.[Zhen-Hua], Huber, P., Kittler, J., Huang, Z.W.[Zhi-Wu], Li, S.[Shaoxin], Li, Y.[Yan], Kan, M.[Meina], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Li, H.X.[Hao-Xiang], Hua, G.[Gang], Struc, V., Krizaj, J., Ding, C.X.[Chang-Xing], Tao, D.C.[Da-Cheng], Phillips, P.J.,
Report on the FG 2015 Video Person Recognition Evaluation,
FG15(1-8)
IEEE DOI 1508
face recognition BibRef

Mandal, B.[Bappaditya], Zhikai, W.[Wang], Li, L.Y.[Li-Yuan], Kassim, A.A.[Ashraf A.],
Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification,
RoLoD14(585-599).
Springer DOI 1504
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Escalera, S.[Sergio], Baró, X.[Xavier], Gonzàlez, J.[Jordi], Bautista, M.A.[Miguel A.], Madadi, M.[Meysam], Reyes, M.[Miguel], Ponce-López, V.[Víctor], Escalante, H.J.[Hugo J.], Shotton, J.[Jamie], Guyon, I.[Isabelle],
ChaLearn Looking at People Challenge 2014: Dataset and Results,
ChaLearn14(459-473).
Springer DOI 1504
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Escalera, S.[Sergio], Fabian, J., Pardo, P., Baró, X.[Xavier], Gonzàlez, J.[Jordi], Escalante, H.J.[Hugo J.], Misevic, D., Steiner, U., Guyon, I.[Isabelle],
ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results,
ChaLearnDec15(243-251)
IEEE DOI 1602
Cultural differences BibRef

Ekenel, H.K.,
Benchmarking Facial Image Analysis Technologies (BeFIT),
IPTA12(15-15)
IEEE DOI 1503
face recognition BibRef

Melle, A.[Andrea], Dugelay, J.L.[Jean-Luc],
Scrambling faces for privacy protection using background self-similarities,
ICIP14(6046-6050)
IEEE DOI 1502
Encryption BibRef

Ng, H.W.[Hong-Wei], Winkler, S.[Stefan],
A data-driven approach to cleaning large face datasets,
ICIP14(343-347)
IEEE DOI
PDF File. 1502
See also FaceScrub Annotated Face Dataset. BibRef

McDuff, D.[Daniel], el Kaliouby, R.[Rana], Senechal, T.[Thibaud], Amr, M.[May], Cohn, J.F.[Jeffrey F.], Picard, R.W.[Rosalind W.],
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected 'In-the-Wild',
AMFG13(881-888)
IEEE DOI 1309
Dataset, Facial Expressions. Facial expressions;computer vision;dataset BibRef

Wang, H.[Hai], Kang, B.N.[Bong-Nam], Kim, D.J.[Dai-Jin],
PFW: A Face Database in the Wild for Studying Face Identification and Verification in Uncontrolled Environment,
ACPR13(356-360)
IEEE DOI 1408
face recognition BibRef

Toderici, G.[George], Evangelopoulos, G.[Georgios], Fang, T.H.[Tian-Hong], Theoharis, T.[Theoharis], Kakadiaris, I.A.[Ioannis A.],
UHDB11 Database for 3D-2D Face Recognition,
PSIVT13(73-86).
Springer DOI 1402
Dataset, Faces. BibRef

Liu, X.[Xin], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Face Recognition after Plastic Surgery: A Comprehensive Study,
ACCV12(II:565-576).
Springer DOI 1304
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Berg, T.[Thomas], Belhumeur, P.N.[Peter N.],
Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification,
BMVC12(129).
DOI Link 1301
Award, BMVC, Rigorous Evaluation. BibRef

Günther, M.[Manuel], Wallace, R.[Roy], Marcel, S.[Sébastien],
An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms,
BeFIT12(III: 547-556).
Springer DOI 1210
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Forczmanski, P.[Pawel], Furman, M.[Magdalena],
Comparative Analysis of Benchmark Datasets for Face Recognition Algorithms Verification,
ICCVG12(354-362).
Springer DOI 1210
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Choi, J.H.[Jong-Hyun], Sharma, A.[Abhishek], Jacobs, D.W.[David W.], Davis, L.S.[Larry S.],
Data insufficiency in sketch versus photo face recognition,
Biometrics12(1-8).
IEEE DOI 1207
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Lui, Y.M.[Yui Man], Bolme, D.[David], Phillips, P.J.[P. Jonathon], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.],
Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem,
Biometrics12(9-16).
IEEE DOI 1207
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Colombo, A.[Alessandro], Cusano, C.[Claudio], Schettini, R.[Raimondo],
UMB-DB: A database of partially occluded 3D faces,
BenchFace11(2113-2119).
IEEE DOI 1201
Dataset, Faces. BibRef

Somanath, G.[Gowri], Rohith, M.V., Kambhamettu, C.[Chandra],
VADANA: A dense dataset for facial image analysis,
BenchFace11(2175-2182).
IEEE DOI 1201
Dataset, Faces. BibRef

Özcan, M.[Mert], Jie, L.[Luo], Ferrari, V.[Vittorio], Caputo, B.[Barbara],
A Large-Scale Database of Images and Captions for Automatic Face Naming,
BMVC11(xx-yy).
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Shi, Q.F.[Qin-Feng], Eriksson, A.[Anders], van den Hengel, A.J.[Anton J.], Shen, C.H.[Chun-Hua],
Is face recognition really a Compressive Sensing problem?,
CVPR11(553-560).
IEEE DOI 1106
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Aggarwal, G.[Gaurav], Biswas, S.[Soma], Flynn, P.J.[Patrick J.], Bowyer, K.W.[Kevin W.],
Predicting good, bad and ugly match Pairs,
WACV12(153-160).
IEEE DOI 1203
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Predicting performance of face recognition systems: An image characterization approach,
Biometrics11(52-59).
IEEE DOI 1106
See also sparse representation approach to face matching across plastic surgery, A. BibRef

Zhang, Y.[Yong], Ellyson, S.[Steve], Zone, A.[Anthony], Gangam, P.[Priyanka], Sullins, J.[John], McCullough, C.[Christine], Canavan, S.[Shaun], Yin, L.J.[Li-Jun],
Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness,
FG11(707-712).
IEEE DOI 1103
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Beveridge, J.R.[J. Ross], Phillips, P.J.[P. Jonathon], Givens, G.H.[Geof H.], Draper, B.A.[Bruce A.], Teli, M.N.[Mohammad Nayeem], Bolme, D.S.[David S.],
When high-quality face images match poorly,
FG11(572-578).
IEEE DOI 1103
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Ni, J.[Jie], Chellappa, R.[Rama],
Evaluation of state-of-the-art algorithms for remote face recognition,
ICIP10(1581-1584).
IEEE DOI 1009
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Kroon, B.[Bart], Hanjalic, A.[Alan], Boughorbel, S.[Sabri],
Comparison of face matching techniques under pose variation,
CIVR07(272-279).
DOI Link 0707
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Iyer, V.N., Kirkbride, S.R., Parks, B.C., Scheirer, W.J., Boult, T.E.,
A taxonomy of face-models for system evaluation,
AMFG10(63-70).
IEEE DOI 1006
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Degtyarev, N.[Nikolay], Seredin, O.[Oleg],
Comparative Testing of Face Detection Algorithms,
ICISP10(200-209).
Springer DOI 1006
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Gupta, S.[Shalini], Castleman, K.R.[Kenneth R.], Markey, M.K.[Mia K.], Bovik, A.C.[Alan C.],
Texas 3D Face Recognition Database,
Southwest10(97-100).
IEEE DOI 1005
Dataset, Faces. BibRef

Kapoor, A.[Ashish], Baker, S.[Simon], Basu, S.[Sumit], Horvitz, E.[Eric],
Memory constrained face recognition,
CVPR12(2539-2546).
IEEE DOI 1208
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Kapoor, A.[Ashish], Hua, G.[Gang], Akbarzadeh, A.[Amir], Baker, S.[Simon],
Which Faces to Tag: Adding Prior Constraints into Active Learning,
ICCV09(1058-1065).
IEEE DOI
PDF File. 0909
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Ferrara, M.[Matteo], Franco, A.[Annalisa],
On the Impact of Alterations on Face Photo Recognition Accuracy,
CIAP13(I:743-751).
Springer DOI 1311
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Maltoni, D.[Davide], Franco, A.[Annalisa], Ferrara, M.[Matteo], Maio, D.[Dario], Nardelli, A.[Antonio],
BioLab-ICAO: A new benchmark to evaluate applications assessing face image compliance to ISO/IEC 19794-5 standard,
ICIP09(41-44).
IEEE DOI 0911
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Fang, H.[Hui], Costen, N.P.[Nicholas P.],
Behavioral Consistency Extraction for Face Verification,
COST08(291-305).
Springer DOI 0810
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Giorgi, D., Attene, M., Patane, G., Marini, S., Pizzi, C., Biasotti, S., Spagnuolo, M., Falcidieno, B., Corvi, M., Usai, L., Roncarolo, L., Garibotto, G.,
A Critical Assessment of 2D and 3D Face Recognition Algorithms,
AVSBS09(79-84).
IEEE DOI 0909
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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 0906
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Kisku, D.R.[Dakshina R.], Rattani, A.[Ajita], Tistarelli, M.[Massimo], Gupta, P.[Phalguni],
Graph application on face for personal authentication and recognition,
ICARCV08(1150-1155).
IEEE DOI 1109
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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 0906
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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 0906
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Poh, N.[Norman], Chan, C.H.[Chi Ho], Kittler, J.V.[Josef V.], Marcel, S.[Sébastien], McCool, C.[Christopher], 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.P.[Nicholas P.],
Face Video Competition,
ICB09(715-724).
Springer DOI 0906
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O'Toole, A.J.[Alice J.], Phillips, P.J.[P. Jonathon],
Five Principles for Crowd-Source Experiments in Face Recognition,
FG17(735-741)
IEEE DOI 1707
Benchmark testing, Computer vision, Face, Face recognition, Labeling, Machine learning, Machine, learning, algorithms BibRef

O'Toole, A.J.[Alice J.], Phillips, P.J.[P. Jonathon], Narvekar, A.[Abhijit],
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Lee, H.S.[Hyoung-Soo], Park, S.S.[Sung-Soo], Kang, B.N.[Bong-Nam], Shin, J.J.[Jong-Ju], Lee, J.Y.[Ju-Young], Je, H.M.[Hong-Mo], Jun, B.J.[Bong-Jin], Kim, D.J.[Dai-Jin],
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IEEE DOI 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 0812
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Huang, G.B.[Gary B.], Jones, M.J.[Michael J.], Learned-Miller, E.G.[Erik G.],
LFW Results Using a Combined Nowak Plus MERL Recognizer,
Faces08(xx-yy). 0810
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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 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 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 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 0708
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 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 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 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 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 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).
IEEE DOI 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 0609
BibRef

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

Aggarwal, G., Biswas, S., Chellappa, R.,
UMD Experiments with FRGC Data,
FRGC05(III: 172-172).
IEEE DOI 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 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 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 0702
BibRef

Boult, T.E.,
Robust Distance Measures for Face-Recognition Supporting Revocable Biometric Tokens.,
FGR06(560-566).
IEEE DOI 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 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 0809
BibRef

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

Llano, E.G.[Eduardo Garea], Kittler, J.V.[Josef V.], Messer, K.[Kieron], Mendez Vazquez, H.[Heydi],
A Comparative Study of Face Representations in the Frequency Domain,
CIARP06(99-108).
Springer DOI 0611
BibRef
Earlier: A1, A4, A2, A3:
An Illumination Insensitive Representation for Face Verification in the Frequency Domain,
ICPR06(I: 215-218).
IEEE DOI 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 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 0601
BibRef

Sumi, K.[Kazuhiko], Liu, C.[Chang], Matsuyama, T.[Takashi],
Study on Synthetic Face Database for Performance Evaluation,
ICB06(598-604).
Springer DOI 0601
BibRef

Boom, B.J., Beumer, G.M., Spreeuwers, L.J., Veldhuis, R.N.J.[Raimond N.J.],
The Effect of Image Resolution on the Performance of a Face Recognition System,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Veropoulos, K.[Konstantinos], Bebis, G.N.[George N.], Webster, M.A.[Michael A.],
Investigating the Impact of Face Categorization on Recognition Performance,
ISVC05(207-218).
Springer DOI 0512
BibRef

Yang, F.[Fei], Shan, S.G.[Shi-Guang], Ma, B.P.[Bing-Peng], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Using Score Normalization to Solve the Score Variation Problem in Face Authentication,
IWBRS05(31).
Springer DOI 0601
BibRef

Daum, H.[Henning],
Influences of Image Disturbances on 2D Face Recognition,
AVBPA05(900).
Springer DOI 0509
BibRef

Kryszczuk, K.[Krzysztof], Drygajlo, A.[Andrzej],
Improving Classification with Class-Independent Quality Measures: Q-stack in Face Verification,
ICB07(1124-1133).
Springer DOI 0708
BibRef
Earlier:
Addressing the Vulnerabilities of Likelihood-Ratio-Based Face Verification,
AVBPA05(426).
Springer DOI 0509
BibRef

Riesenhuber, M.[Maximilian], Jarudi, I.N.[Izzat N.], Gilad, S.[Sharon], Sinha, P.[Pawan],
Face processing in humans is compatible with a simple shape-based model of vision,
MIT AIM-2004-006, March 5, 2004.
WWW Link. 0501
BibRef

Papatheodorou, T., Rueckert, D.,
Evaluation of automatic 4D face recognition using surface and texture registration,
AFGR04(321-326).
WWW Link. 0411
BibRef

Sherrah, J.,
False alarm rate: a critical performance measure for face recognition,
AFGR04(189-194).
WWW Link. 0411
BibRef

Momeni, H.[Hajar], Sadeghi, M.T.[Mohammad T.], Abutalebi, H.R.[Hamid R.],
A Comparative Study of Hierarchical Matching Algorithms for Face Recognition,
MVA09(110-).
PDF File. 0905
BibRef

Sadeghi, M.T., Kittler, J.V., Kostin, A., Messer, K.,
A Comparative Study of Automatic Face Verification Algorithms on the BANCA Database,
AVBPA03(35-43).
Springer DOI 0310
See also BANCA Database, The. BibRef

Messer, K., Kittler, J.V., Sadeghi, M.T., Hamouz, M., Kostin, A., Cardinaux, F., Marcel, S.[Sebastien], Bengio, S., Sanderson, C., Poh, N., Rodriguez, Y.[Yann], Czyz, J., Vandendorpe, L., McCool, C., Lowther, S., Sridharan, S., Chandran, V., Parades Palacios, R., Vidal, E., Bai, L.[Li], Shen, L.L.[Lin Lin], Wang, Y.[Yan], Yueh-Hsuan, C.A.[Chi-Ang], Hsien-Chang, L.[Liu], Hung, Y.P.[Yi-Ping], Heinrichs, A., Muller, M., Tewes, A.H.J., von der Malsburg, C.[Christoph], Wurtz, R.P., Wang, Z.[Zhenger], Xue, F.[Feng], Ma, Y.[Yong], Yang, Q.[Qiong], Fang, C.[Chi], Ding, X.Q.[Xiao-Qing], Lucey, S., Goss, R., Schneiderman, H.,
Face authentication test on the BANCA database,
ICPR04(IV: 523-532).
IEEE DOI 0409
See also BANCA Database, The. BibRef

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],
Face Authentication Competition on the BANCA Database,
ICBA04(8).
Springer DOI 0505
See also BANCA Database, The. BibRef

Messer, K.[Kieron], Kittler, J.V.[Josef V.], Sadeghi, M.T.[Mohammad T.], Marcel, S.[Sebastien], Marcel, C.[Christine], Bengio, S.[Samy], Cardinaux, F., Sanderson, C., Czyz, J., Vandendorpe, L., Srisuk, S.[Sanun], Petrou, M.[Maria], Kurutach, W.[Werasak], Kadyrov, A.[Alexander], Paredes, R.[Roberto], Kepenekci, B., Tek, F.B., Akar, G.B., Deravi, F.[Farzin], Mavity, N.[Nick],
Face Verification Competition on the XM2VTS Database,
AVBPA03(964-974).
Springer DOI 0310
BibRef

Bailly-Bailliére, E.[Enrique], Bengio, S.[Samy], Bimbot, F.[Frédéric], Hamouz, M.[Miroslav], Kittler, J.V.[Josef V.], Mariéthoz, J.[Johnny], Matas, J.[Jiri], Messer, K.[Kieron], Popovici, V.[Vlad], Porée, F.[Fabienne], Ruiz, B.[Belen], Thiran, J.P.[Jean-Philippe],
The BANCA Database and Evaluation Protocol,
AVBPA03(625-638).
Springer DOI 0310
See also BANCA Database, The. BibRef

Zhang, Y.[Yong], Kundu, S.J., Goldgof, D.B., Sarkar, S., Tsap, L.V.,
Elastic face, an anatomy-based biometrics beyond visible cue,
ICPR04(II: 19-22).
IEEE DOI 0409
BibRef

Omachi, S., Sun, F.[Fang], Aso, H.,
Precise estimation of high-dimensional distribution and its application to face recognition,
ICPR04(I: 220-223).
IEEE DOI 0409
BibRef

Popovici, V.[Vlad], Thiran, J.P.[Jean-Philippe], Rodriguez, Y., Marcel, S.,
On performance evaluation of face detection and localization algorithms,
ICPR04(I: 313-317).
IEEE DOI 0409
BibRef

Li, Q.[Qi], Ye, J.P.[Jie-Ping], Kambhamettu, C.[Chandra],
Linear projection methods in face recognition under unconstrained illuminations: a comparative study,
CVPR04(II: 474-481).
IEEE DOI 0408
BibRef

Zhou, J.[Jie], Zhang, D.,
Face recognition by combining several algorithms,
ICPR02(III: 497-500).
IEEE DOI 0211
BibRef

Hwang, B.W.[Bon-Woo], Roh, M.C.[Myung-Cheol], Lee, S.W.[Seong-Whan],
Performance evaluation of face recognition algorithms on Asian face database,
AFGR04(278-283).
WWW Link. 0411
BibRef

Hwang, B.W.[Bon-Woo], Byun, H.R.[Hye-Ran], Roh, M.C.[Myung-Cheol], Lee, S.W.[Seong-Whan],
Performance Evaluation of Face Recognition Algorithms on the Asian Face Database, KFDB,
AVBPA03(557-565).
Springer DOI 0310
BibRef

Grother, P.J., Phillips, P.J.,
Models of large population recognition performance,
CVPR04(II: 68-75).
IEEE DOI 0408
BibRef

Micheals, R.J.[Ross J.], Grother, P.J.[Patrick J.], Phillips, P.J.[P. Jonathon],
The NIST HumanID Evaluation Framework,
AVBPA03(403-411).
Springer DOI 0310
BibRef

Thomas, D., Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Multi-frame Approaches To Improve Face Recognition,
Motion07(19-19).
IEEE DOI 0702
BibRef

Flynn, P.J.[Patrick J.], Bowyer, K.W.[Kevin W.], Phillips, P.J.[P. Jonathon],
Assessment of Time Dependency in Face Recognition: An Initial Study,
AVBPA03(44-51).
Springer DOI 0310
BibRef

Gupta, H., Agrawal, A.K., Pruthi, T., Shekhar, C., Chellappa, R.,
An experimental evaluation of linear and kernel-based methods for face recognition,
WACV02(13-18).
WWW Link. 0303
BibRef

Phillips, P.J., Newton, E.M.,
Meta-analysis of Face Recognition Algorithms,
AFGR02(224-230).
IEEE DOI 0206
BibRef
And: EEMCV01(xx-yy). 0110
See also Meta-Analysis of Third-Party Evaluations of Iris Recognition. BibRef

Rizvi, S.A., Phillips, P.J.[P. Jonathon], Moon, H.J.,
A Verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms,
CVPR98(833-838).
IEEE DOI Evaluation BibRef 9800

Denes, L.J., Metes, P., Liu, Y.,
Hyperspectral Face Database,
CMU-RI-TR-02-25, October, 2002.
WWW Link. 0211
Dataset, Faces. BibRef

Liu, X.M.[Xiao-Ming], Chen, T.H.[Tsu-Han],
Geometry-assisted statistical modeling for face mosaicing,
ICIP03(II: 883-886).
IEEE DOI 0312
BibRef

Qidwai, S.[Saim], Venkataramani, K.[Krithika], Gutta, S.[Srinivas], Wechsler, H.[Harry],
Face Recognition Using Asymmetric Faces,
ICBA04(162-168).
Springer DOI 0505
BibRef

Gutta, S.[Srinivas], Wechsler, H.[Harry],
Partial Faces for Face Recognition: Left vs Right Half,
CAIP03(630-637).
Springer DOI 0311
BibRef

Gutta, S., Philomin, V., Trajkovic, M.,
An investigation into the use of partial-faces for face recognition,
AFGR02(28-33).
IEEE DOI 0206
BibRef

Yacoob, Y., Davis, L.S.,
Smiling faces are better for face recognition,
AFGR02(52-57).
IEEE DOI 0206
BibRef

Gutta, S.[Srinivas], Huang, J.[Jeffrey], Liu, C.J.[Cheng-Jun], Wechsler, H.[Harry],
Comparative Performance Evaluation of Gray-Scale and Color Information for Face Recognition Tasks,
AVBPA01(38).
Springer DOI 0310
BibRef

Bigun, J.[Josef], Choy, K.W.[Kwok-Wai], Olsson, H.[Henrik],
Evidence on Skill Differences of Women and Men Concerning Face Recognition,
AVBPA01(44).
Springer DOI 0310
BibRef

Kosmerlj, M.[Marijana], Fladsrud, T.[Tom], Hjelmås, E.[Erik], Snekkenes, E.[Einar],
Face Recognition Issues in a Border Control Environment,
ICB06(33-39).
Springer DOI 0601
BibRef

Hjelmås, E.[Erik], Farup, I.[Ivar],
A Comparison of Face/Non-face Classifiers,
AVBPA01(65).
Springer DOI 0310
BibRef

Wallhoff, F., Eickeler, S., Rigoll, G.,
A Comparison of Discrete and Continuous Output Modeling Techniques for a Pseudo-2d Hidden Markov Model Face Recognition System,
ICIP01(II: 685-688).
IEEE DOI 0108
BibRef

Eickeler, S.[Stefan], Jabs, M.[Mirco], Rigoll, G.[Gerhard],
Comparison of Confidence Measures for Face Recognition,
AFGR00(257-262).
IEEE DOI 0003
BibRef

Alvira, M.[Mariano], Rifkin, R.[Ryan],
An Empirical Comparison of SNoW and SVMs for Face Detection,
MIT AI Memo-2001-004, January 2001.
WWW Link. 0105
BibRef

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.,
Comparison of Face Verification Results on the XM2VTS Database,
ICPR00(Vol IV: 858-863).
IEEE DOI 0009
See also XM2VTSDB: The Extended M2VTS Database. BibRef

Varsta, M., Heikkonen, J., Millán, J.D.R.[Jose Del R.], Mouriño, J.,
Evaluating the Performance of Three Feature Sets for Brain-computer Interfaces with an Early Stopping MLP Committee,
ICPR00(Vol II: 907-910).
IEEE DOI 0009
BibRef

Sukthankar, G.,
Face Recognition: A Critical Look at Biologically-Inspired Approaches,
CMU-RI-TR-00-04, January, 2000.
PDF File. BibRef 0001

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).
IEEE DOI BibRef 9800

Li, S.Z., Lu, J.,
Generalizing Capacity of Face Database for Face Recognition,
AFGR98(402-406).
IEEE DOI BibRef 9800

Nakatsu, R.[Ryohei],
Nonverbal Information Recognition and Its Application to Communications,
AFGR98(2-7).
IEEE DOI 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 9810
BibRef

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).
PDF File. 9209
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, General Papers, Surveys .


Last update:Sep 25, 2017 at 16:36:46