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Earlier:
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ACCV98(I: 515-522).
University of Cambridge
BibRef
Yow, K.C.,
Cipolla, R.,
A probabilistic framework for perceptual
grouping of features in human face detection,
AFGR96(16-21).
IEEE DOI
BibRef
9600
Yow, K.C.,
Cipolla, R.,
Detection of human faces under scale, orientation and viewpoint variations,
AFGR96(295-300).
IEEE DOI
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9600
Earlier:
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Kervrann, C.,
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PRL(18), No. 9, September 1997, pp. 899-912.
9801
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Saber, E.,
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PRL(19), No. 8, June 1998, pp. 669-680.
9808
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Earlier:
Face Detection and Facial Feature Extraction Using Color, Shape and
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IEEE DOI
9608
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Yao, H.X.[Hong-Xun],
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0211
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1410
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Earlier:
Morphable Displacement Field Based Image Matching for Face Recognition
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Springer DOI
1210
face recognition
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Hu, L.Q.[Lan-Qing],
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1210
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0311
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Earlier:
Human Face Detection Using Geometric Triangle Relationship,
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IEEE DOI
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Hypothesis and test. Based on eyes and mouth.
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0204
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0304
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PR(34), No. 10, October 2001, pp. 1993-2004.
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See also efficient low bit-rate video-coding algorithm focusing on moving regions, An.
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An Adaptive-Profile Active Shape Model for Facial-Feature Detection,
ICPR14(2849-2854)
IEEE DOI
1412
Active appearance model
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Earlier:
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IVC(25), No. 5, 1 May 2007, pp. 741-753.
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0703
Face detection; Face location; Facial feature detection;
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Face detection; Multi-matcher; Wavelet
See also clustering method for automatic biometric template selection, A.
See also RegionBoost learning for 2D+3D based face recognition.
BibRef
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Earlier: A1, A3, A2, A4:
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Springer DOI
0509
BibRef
Earlier: A1, A3, A4, Only:
Efficient Face Detection by a Cascaded Support Vector Machine Using
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DAGM04(62-70).
Springer DOI
0505
BibRef
Li, X.H.[Xiao-Hua],
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Pose variations, illumination and background changes.
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Guo, J.M.,
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Jun, B.J.[Bong-Jin],
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PAMI(35), No. 6, June 2013, pp. 1423-1436.
IEEE DOI
1305
See also Facial Fraud Discrimination Using Detection and Classification. local gradient patterns (LGP) and binary histograms of
oriented gradients (BHOG)
BibRef
Herman, G.[Gunawan],
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PR(46), No. 12, 2013, pp. 3315-3327.
Elsevier DOI
1308
Feature selection
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Zhang, B.[Bang],
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Xu, J.[Jie],
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Finding shareable informative patterns and optimal coding matrix for
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ICCV09(56-63).
IEEE DOI
0909
BibRef
Zhang, B.[Bang],
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Wang, Y.[Yang],
Wang, W.[Wei],
Xu, J.[Jie],
Herman, G.[Gunawan],
Yang, J.[Jun],
Informative frequent assembled feature for face detection,
ICIP09(1205-1208).
IEEE DOI
0911
BibRef
Naruniec, J.[Jacek],
Discrete area filters in accurate detection of faces and facial
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IVC(32), No. 12, 2014, pp. 979-993.
Elsevier DOI
1412
Face detection
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Jeong, K.,
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SPLetters(22), No. 9, September 2015, pp. 1400-1403.
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1503
Face
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Hou, X.X.[Xian-Xu],
Zhu, J.S.[Jia-Song],
Sun, K.[Ke],
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1805
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Earlier:
Object specific deep feature and its application to face detection,
MVA17(173-176)
DOI Link
1708
Deformable models, Detectors, Face, Face detection,
Feature extraction, Heating systems, Proposals
BibRef
Liu, Y.,
Tang, X.,
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid
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CVPR20(13565-13574)
IEEE DOI
2008
Pattern recognition
BibRef
Peng, D.Z.[De-Zhi],
Sun, Z.K.[Zi-Kai],
Chen, Z.R.[Zi-Rong],
Cai, Z.R.[Zi-Rui],
Xie, L.L.[Le-Le],
Jin, L.W.[Lian-Wen],
Detecting Heads using Feature Refine Net and Cascaded Multi-scale
Architecture,
ICPR18(2528-2533)
IEEE DOI
1812
Head, Detectors, Feature extraction, Computer architecture,
Convolution, Object detection, Matrix decomposition
BibRef
Guo, Q.,
Dong, Y.,
Guo, Y.,
Bai, H.,
MSFD: Multi-Scale Receptive Field Face Detector,
ICPR18(1869-1874)
IEEE DOI
1812
Face, Feature extraction, Detectors, Face detection, Training,
Task analysis, Shape
BibRef
Shekar, B.H.,
Rajesh, D.S.,
Face Detection Based on Frequency Domain Features,
PReMI17(203-211).
Springer DOI
1711
BibRef
Jiang, H.,
Learned-Miller, E.G.[Erik G.],
Face Detection with the Faster R-CNN,
FG17(650-657)
IEEE DOI
1707
Benchmark testing, Face, Face detection, Feature extraction,
Object detection, Proposals, Training
BibRef
Duan, J.L.[Jia-Li],
Liao, S.C.[Sheng-Cai],
Guo, X.Y.[Xiao-Yuan],
Li, S.Z.[Stan Z.],
Face Detection by Aggregating Visible Components,
WFI16(II: 319-333).
Springer DOI
1704
BibRef
Elmer, P.[Peter],
Lupp, A.[Artur],
Sprenger, S.[Stefan],
Thaler, R.[René],
Uhl, A.[Andreas],
Exploring Compression Impact on Face Detection Using Haar-like Features,
SCIA15(53-64).
Springer DOI
1506
BibRef
Bilaniuk, O.[Olexa],
Bazargani, H.[Hamid],
Laganiere, R.[Robert],
Fast Target Recognition on Mobile Devices: Revisiting Gaussian
Elimination for the Estimation of Planar Homographies,
IWMV14(119-125)
IEEE DOI
1409
feature matching
BibRef
Bilaniuk, O.[Olexa],
Fazl-Ersi, E.[Ehsan],
Laganiere, R.[Robert],
Xu, C.[Christina],
Laroche, D.[Daniel],
Moulder, C.[Craig],
Fast LBP Face Detection on Low-Power SIMD Architectures,
ECVW14(630-636)
IEEE DOI
1409
LBP features; SIMD architecture; face detection
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Rezaei, M.[Mahdi],
Nafchi, H.Z.[Hossein Ziaei],
Morales, S.[Sandino],
Global Haar-Like Features: A New Extension of Classic Haar Features for
Efficient Face Detection in Noisy Images,
PSIVT13(302-313).
Springer DOI
1402
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Gibert, G.,
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Lance, F.,
Face detection method based on photoplethysmography,
AVSS13(449-453)
IEEE DOI
1311
detect faces in a video stream based on the detection of heart rate.
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Li, E.[Eric],
Yang, L.[Liu],
Wang, B.[Bin],
Li, J.G.[Jian-Guo],
Peng, Y.T.[Ya-Ti],
SURF cascade face detection acceleration on Sandy Bridge processor,
ECVW12(41-47).
IEEE DOI
1207
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Gupta, S.[Supratim],
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Routray, A.[Aurobinda],
Analysis of training parameters for classifiers based on Haar-like
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ICIIP11(1-4).
IEEE DOI
1112
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Wang, S.[Sheng],
Wu, Q.A.[Qi-Ang],
He, X.J.[Xiang-Jian],
Jia, W.J.[Wen-Jing],
More on Weak Feature: Self-correlate Histogram Distances,
PSIVT11(I: 214-223).
Springer DOI
1111
weak feature (Haar-like feature).
strong feature (Histogram of Oriented Gradient).
For face detection
BibRef
Landesa-Vazquez, I.[Iago],
Alba-Castro, J.L.[Jose Luis],
The Role of Polarity in Haar-like Features for Face Detection,
ICPR10(412-415).
IEEE DOI
1008
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Majed, S.[Somaya],
Arof, H.[Hamzah],
Hashmi, Z.[Zafar],
Orientation Features-Based Face Detection by Using Local Orientation
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IVIC09(738-747).
Springer DOI
0911
BibRef
Gonzalez-Jimenez, D.[Daniel],
Argones-Rua, E.[Enrique],
Perez-Gonzalez, F.[Fernando],
Alba-Castro, J.L.[Jose Luis],
Modeling magnitudes of Gabor coefficients:
The beta-Rayleigh distribution,
ICIP09(1245-1248).
IEEE DOI
0911
Gaussian densities to model Gabor coefficents.
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Kozakaya, T.[Tatsuo],
Ito, S.[Satoshi],
Kubota, S.[Susumu],
Yamaguchi, O.[Osamu],
Cat face detection with two heterogeneous features,
ICIP09(1213-1216).
IEEE DOI
0911
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Cordiner, A.[Alister],
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Face detection using generalised integral image features,
ICIP09(1229-1232).
IEEE DOI
0911
BibRef
Wu, H.Y.[Hai-Yuan],
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Wada, T.[Toshikazu],
Chen, Q.[Qian],
Accelerating Face Detection by Using Depth Information,
PSIVT09(657-667).
Springer DOI
0901
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Pham, M.T.[Minh-Tri],
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ICCV07(1-7).
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0710
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Oskarsson, M.[Magnus],
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Maximum Likelihood Estimates for Object Detection Using Multiple
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SSPR06(658-666).
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0608
Show how to combine the results of a number of detectors i.e. face, eye,
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Mateos, G.G.[Ginés Garcia],
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Face Detection on Still Images Using HIT Maps,
AVBPA01(102).
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0310
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Park, J.H.[Jeong-Hee],
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An, D.G.[Don-Gun],
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Kim, J.B.[Jong Bae],
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0211
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Wu, H.Y.[Hai-Yuan],
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Shioyama, T.,
Optimal gabor filters for high speed face identification,
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IEEE DOI
0211
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Zhu, X.Q.[Xing-Quan],
Fan, J.P.[Jian-Ping],
Elmagarmid, A.K.,
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ICIP02(II: 113-116).
IEEE DOI
0210
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Kapralos, B.,
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Milios, E.,
Tsotsos, J.K.,
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ICIP01(I: 66-69).
IEEE DOI
0108
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Song, Q.,
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ICPR00(Vol II: 97-100).
IEEE DOI
0009
Finding faces.
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Holst, G.,
Face Detection by Facets: Combined Bottom-up and Top-down Search Using
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ICIP00(Vol II: 235-238).
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0008
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Scassellati, B.[Brian],
Real-Time Face and Eye finding with an Active Vision System,
DARPA98(929-938).
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9800
And:
Eye finding via face detection for a foveated, active vision system,
NCAI98(xx-yy).
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Finding Faces by Color Features .