Gao, Y.,
Leung, M.K.H.,
Wang, W.,
Hui, S.C.,
Fast face identification under varying pose from a single 2-D model
view,
VISP(148), No. 4, August 2001, pp. 248-253.
0201
BibRef
Zhang, L.[Lei],
Samaras, D.[Dimitris],
Face Recognition from a Single Training Image under Arbitrary Unknown
Lighting Using Spherical Harmonics,
PAMI(28), No. 3, March 2006, pp. 351-363.
IEEE DOI
0602
BibRef
Earlier:
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using
Spherical Harmonics,
BioAW04(10-23).
Springer DOI
0505
BibRef
Earlier:
Face recognition under variable lighting using harmonic image exemplars,
CVPR03(I: 19-25).
IEEE DOI
0307
Statistical model built from set of basis images.
Estimate (assuming no pose variation).
Second: use 3D models to build basis images.
See also Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions.
BibRef
Wang, S.[Sen],
Zhang, L.[Lei],
Samaras, D.[Dimitris],
Face Reconstruction Across Different Poses and Arbitrary Illumination
Conditions,
AVBPA05(91).
Springer DOI
0509
BibRef
Earlier: A2, A1, A3:
Face Synthesis and Recognition from a Single Image under Arbitrary
Unknown Lighting Using a Spherical Harmonic Basis Morphable Model,
CVPR05(II: 209-216).
IEEE DOI
0507
BibRef
Tan, X.Y.[Xiao-Yang],
Chen, S.C.[Song-Can],
Zhou, Z.H.[Zhi-Hua],
Zhang, F.Y.[Fu-Yan],
Face Recognition from a Single Image Per Person: A Survey,
PR(39), No. 9, September 2006, pp. 1725-1745.
Elsevier DOI
0606
Survey, Face Recognition.
Award, Pattern Recognition, Honorable Mention. Single training image per person
BibRef
Tan, X.Y.[Xiao-Yang],
Qiao, L.S.[Li-Shan],
Gao, W.J.[Wen-Juan],
Liu, J.[Jun],
Robust faces manifold modeling:
Most expressive vs. most Sparse criterion,
Subspace09(139-146).
IEEE DOI
0910
BibRef
Rashidy Kanan, H.[Hamidreza],
Faez, K.[Karim],
Gao, Y.S.[Yong-Sheng],
Face recognition using adaptively weighted patch PZM array from a
single exemplar image per person,
PR(41), No. 12, December 2008, pp. 3799-3812.
Elsevier DOI
0810
Face recognition; Adaptively weighted patch pseudo Zernike moment;
Zernike moment; Patch matching; Local matching; Partial occlusion;
Single model database
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Guo, J.[Jun],
Cai, W.D.[Wei-Dong],
Feng, D.D.[David Dagan],
Robust, accurate and efficient face recognition from a single training
image: A uniform pursuit approach,
PR(43), No. 5, May 2010, pp. 1748-1762.
Elsevier DOI
1003
Face recognition; One sample problem; Principal component analysis;
Whitening transformation; Uniform pursuit
See also Lighting-aware face frontalization for unconstrained face recognition.
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Wu, Z.J.[Zhong-Jun],
Guo, J.[Jun],
From one to many: Pose-Aware Metric Learning for single-sample face
recognition,
PR(77), 2018, pp. 426-437.
Elsevier DOI
1802
Face recognition, Single sample per person, Metric learning,
3D generic elastic model, Face re-rendering, 3D face construction
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Liu, L.[Liu],
Guo, J.[Jun],
Transformed Principal Gradient Orientation for Robust and Precise Batch
Face Alignment,
ACCV14(IV: 708-723).
Springer DOI
1504
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Zhou, X.Z.[Xiu-Zhuang],
Guo, J.[Jun],
Equidistant prototypes embedding for single sample based face
recognition with generic learning and incremental learning,
PR(47), No. 12, 2014, pp. 3738-3749.
Elsevier DOI
1410
Face recognition
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Lu, J.,
Guo, J.,
Transform-Invariant PCA: A Unified Approach to Fully Automatic
Face Alignment, Representation, and Recognition,
PAMI(36), No. 6, June 2014, pp. 1275-1284.
IEEE DOI
1406
Face
See also Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation.
BibRef
Hu, J.[Jiani],
Deng, W.H.[Wei-Hong],
Guo, J.[Jun],
Online Regression of Grandmother-Cell Responses with Visual
Experience Learning for Face Recognition,
ICPR14(4606-4611)
IEEE DOI
1412
Error analysis;Face;Face recognition;Training;Vectors;Visualization
BibRef
Hajati, F.[Farshid],
Raie, A.A.[Abolghasem A.],
Gao, Y.S.[Yong-Sheng],
3D Face Recognition Using Geodesic PZM Array from a Single Model per
Person,
IEICE(E94-D), No. 7, July 2011, pp. 1488-1496.
WWW Link.
1107
BibRef
Rashidy Kanan, H.[Hamidreza],
Gao, Y.S.[Yong-Sheng],
Recognition of expression variant faces from one sample image per
enrolled subject,
ICIP09(3309-3312).
IEEE DOI
0911
BibRef
Rashidy Kanan, H.[Hamidreza],
Faez, K.[Karim],
Recognizing faces using Adaptively Weighted Sub-Gabor Array from a
single sample image per enrolled subject,
IVC(28), No. 3, March 2010, pp. 438-448.
Elsevier DOI
1001
Face recognition; Gabor Wavelet; Adaptively Weighted Sub-Gabor Array;
Partial occlusion; Single model database
BibRef
Ezoji, M.[Mehdi],
Faez, K.[Karim],
Illumination-Robust Face Recognition from a Single Image per Person
Using Matrix Polar Decomposition,
IEICE(E92-D), No. 8, August 2009, pp. 1561-1569.
WWW Link.
0909
BibRef
Ezoji, M.[Mehdi],
Faez, K.[Karim],
Use of matrix polar decomposition for illumination-tolerant face
recognition in discrete cosine transform domain,
IET-IPR(5), No. 1, February 2011, pp. 25-35.
DOI Link
1103
BibRef
Earlier:
Diffusion-Based Face Selective Smoothing in DCT Domain to Illumination
Invariant Face Recognition,
ICPR10(1164-1167).
IEEE DOI
1008
BibRef
Rashidy Kanan, H.[Hamidreza],
Faez, K.[Karim],
Ezoji, M.[Mehdi],
An Efficient Face Recognition System Using a New Optimized Localization
Method,
ICPR06(III: 564-567).
IEEE DOI
0609
BibRef
Farajzadeh, N.[Nacer],
Faez, K.[Karim],
Pan, G.,
Study on the performance of moments as invariant descriptors for
practical face recognition systems,
IET-CV(4), No. 4, December 2010, pp. 272-285.
DOI Link
1011
BibRef
Kuo, C.H.[Chen-Hui],
Lee, J.D.[Jiann-Der],
Face recognition based on a two-view projective transformation using
one sample per subject,
IET-CV(6), No. 5, 2012, pp. 489-498.
DOI Link
1210
BibRef
Kuo, C.H.[Chen-Hui],
Lee, J.D.[Jiann-Der],
Chan, T.J.[Tung-Jung],
A Novel Multi-stage Classifier for Face Recognition,
ACCV07(II: 631-640).
Springer DOI
0711
BibRef
Lin, G.J.[Guo-Jun],
Xie, M.[Mei],
Mao, L.[Ling],
Extended CRC: Face Recognition with a Single Training Image per Person
via Intraclass Variant Dictionary,
IEICE(E96-D), No. 10, October 2013, pp. 2290-2293.
WWW Link.
1310
BibRef
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Su, Y.[Yu],
Xu, D.[Dong],
Chen, X.L.[Xi-Lin],
Adaptive discriminant learning for face recognition,
PR(46), No. 9, September 2013, pp. 2497-2509.
Elsevier DOI
1305
Adaptive discriminant analysis; Face recognition; Single sample per
person
BibRef
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Su, Y.[Yu],
Chen, X.L.[Xi-Lin],
Gao, W.[Wen],
Adaptive discriminant analysis for face recognition from single sample
per person,
FG11(193-199).
IEEE DOI
1103
BibRef
Su, Y.[Yu],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Gao, W.[Wen],
Adaptive generic learning for face recognition from a single sample per
person,
CVPR10(2699-2706).
IEEE DOI
1006
See also Locally Linear Regression for Pose-Invariant Face Recognition.
BibRef
Shan, S.G.[Shi-Guang],
Cao, B.[Bo],
Su, Y.[Yu],
Qing, L.Y.[Lai-Yun],
Chen, X.L.[Xi-Lin],
Gao, W.[Wen],
Unified Principal Component Analysis with generalized Covariance Matrix
for face recognition,
CVPR08(1-7).
IEEE DOI
0806
See also Cross-pose face recognition based on partial least squares.
BibRef
Qing, L.Y.[Lai-Yun],
Shan, S.G.[Shi-Guang],
Gao, W.[Wen],
Eigen-harmonics faces: face recognition under generic lighting,
AFGR04(296-301).
IEEE DOI
0411
BibRef
Yin, F.[Fei],
Jiao, L.C.,
Shang, F.H.[Fan-Hua],
Xiong, L.[Lin],
Mao, S.S.[Sha-Sha],
Double linear regressions for single labeled image per person face
recognition,
PR(47), No. 4, 2014, pp. 1547-1558.
Elsevier DOI
1402
Semi-supervised dimensionality reduction
BibRef
Wang, C.P.[Chang-Peng],
Zhang, J.S.[Jiang-She],
Chang, G.D.[Guo-Dong],
Ke, Q.[Qiao],
Singular Value Decomposition Projection for solving the small sample
size problem in face recognition,
JVCIR(26), No. 1, 2015, pp. 265-274.
Elsevier DOI
1502
Face recognition
BibRef
Gao, S.H.[Sheng-Hua],
Jia, K.[Kui],
Zhuang, L.S.[Lian-Sheng],
Ma, Y.[Yi],
Neither Global Nor Local: Regularized Patch-Based Representation for
Single Sample Per Person Face Recognition,
IJCV(111), No. 3, February 2015, pp. 365-383.
WWW Link.
1503
BibRef
Ding, R.X.[Ru-Xi],
Du, D.K.[Daniel K.],
Huang, Z.H.[Zheng-Hai],
Li, Z.M.[Zhi-Ming],
Shang, K.[Kun],
Variational Feature Representation-based Classification for face
recognition with single sample per person,
JVCIR(30), No. 1, 2015, pp. 35-45.
Elsevier DOI
1507
Face recognition
BibRef
Zhang, P.Y.[Peng-Yue],
You, X.G.[Xin-Ge],
Ou, W.H.[Wei-Hua],
Chen, C.L.P.[C.L. Philip],
Cheung, Y.M.[Yiu-Ming],
Sparse discriminative multi-manifold embedding for one-sample face
identification,
PR(52), No. 1, 2016, pp. 249-259.
Elsevier DOI
1601
Face recognition
BibRef
Yang, H.X.[Hui-Xian],
Cai, Y.Y.[Yong-Yong],
Adaptively weighted orthogonal gradient binary pattern for single
sample face recognition under varying illumination,
IET-Bio(5), No. 2, 2016, pp. 76-82.
DOI Link
1606
face recognition
BibRef
Wang, B.[Bin],
Wang, C.G.[Cun-Gang],
Huang, J.F.[Ji-Feng],
Multiple clusters parts-based sparse representation for single
example face identification,
JVCIR(40, Part A), No. 1, 2016, pp. 237-250.
Elsevier DOI
1609
Parts-based
BibRef
Ding, C.H.[Chun-Hui],
Bao, T.L.[Tian-Long],
Karmoshi, S.[Saleem],
Zhu, M.[Ming],
Single sample per person face recognition with KPCANet and a weighted
voting scheme,
SIViP(11), No. 7, October 2017, pp. 1213-1220.
WWW Link.
1708
BibRef
Zhang, Y.[Yan],
Peng, H.[Hua],
Sample reconstruction with deep autoencoder for one sample per person
face recognition,
IET-CV(11), No. 6, September 2017, pp. 471-478.
DOI Link
1709
BibRef
Yu, Y.F.[Yu-Feng],
Dai, D.Q.[Dao-Qing],
Ren, C.X.[Chuan-Xian],
Huang, K.K.[Ke-Kun],
Discriminative multi-layer illumination-robust feature extraction for
face recognition,
PR(67), No. 1, 2017, pp. 201-212.
Elsevier DOI
1704
Face recognition
BibRef
Pei, T.W.[Ting-Wei],
Zhang, L.[Li],
Wang, B.J.[Bang-Jun],
Li, F.Z.[Fan-Zhang],
Zhang, Z.[Zhao],
Decision Pyramid Classifier for Face Recognition Under Complex
Variations Using Single Sample Per Person,
PR(64), No. 1, 2017, pp. 305-313.
Elsevier DOI
1701
Single sample per person
BibRef
Fu, Y.,
Xiang, T.,
Jiang, Y.G.,
Xue, X.,
Sigal, L.,
Gong, S.,
Recent Advances in Zero-Shot Recognition:
Toward Data-Efficient Understanding of Visual Content,
SPMag(35), No. 1, January 2018, pp. 112-125.
IEEE DOI
1801
Data models, Face recognition, Machine learning, Semantics,
Target recognition, Training, Visualization
BibRef
Oh, B.S.,
Toh, K.A.,
Teoh, A.B.J.,
Lin, Z.,
An Analytic Gabor Feedforward Network for Single-Sample and
Pose-Invariant Face Recognition,
IP(27), No. 6, June 2018, pp. 2791-2805.
IEEE DOI
1804
Gabor filters, face recognition, feature extraction,
image classification, Gabor magnitude features,
single hidden layer feedforward network
BibRef
Zhang, W.P.[Wan-Ping],
Xu, Z.[Zhen],
Wang, Y.C.[Yi-Chuan],
Lu, Z.Q.[Zong-Qing],
Li, W.F.[Wei-Feng],
Liao, Q.M.[Qing-Min],
Binarized features with discriminant manifold filters for robust
single-sample face recognition,
SP:IC(65), 2018, pp. 1-10.
Elsevier DOI
1805
Face recognition, Discriminant manifold filters,
Local patterns, Single training sample per person
BibRef
Guo, Y.,
Jiao, L.,
Wang, S.,
Wang, S.,
Liu, F.,
Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face
Recognition,
Cyber(48), No. 8, August 2018, pp. 2402-2415.
IEEE DOI
1808
Feature extraction, Face recognition, Face, Training, Rough sets,
Robustness, Nonhomogeneous media, Fuzzy rough set,
two-layer feature learning
BibRef
Pang, M.[Meng],
Cheung, Y.M.[Yiu-Ming],
Wang, B.H.[Bing-Hui],
Liu, R.S.[Ri-Sheng],
Robust heterogeneous discriminative analysis for face recognition
with single sample per person,
PR(89), 2019, pp. 91-107.
Elsevier DOI
1902
Face recognition, Single sample per person,
Heterogeneous representation, Fisher-like criterion, Joint majority voting
BibRef
Hu, C.H.[Chang-Hui],
Lu, X.B.[Xiao-Bo],
Liu, P.[Pan],
Jing, X.Y.[Xiao-Yuan],
Yue, D.[Dong],
Single Sample Face Recognition Under Varying Illumination via QRCP
Decomposition,
IP(28), No. 5, May 2019, pp. 2624-2638.
IEEE DOI
1903
Face, Lighting, Face recognition, Feature extraction, Vehicles,
Facial features, Surveillance, Illumination variation,
high-frequency based sparse representation
BibRef
Zhang, Y.[Yang],
Hu, C.H.[Chang-Hui],
Lu, X.B.[Xiao-Bo],
IL-GAN: Illumination-invariant representation learning for single
sample face recognition,
JVCIR(59), 2019, pp. 501-513.
Elsevier DOI
1903
Single sample per person, Singular value decomposition,
Generative adversarial network, Representation learning,
Illumination-invariant face recognition
BibRef
Zhang, Y.[Yang],
Lu, X.B.[Xiao-Bo],
Li, J.[Jun],
Single-sample face recognition under varying lighting conditions based
on logarithmic total variation,
SIViP(13), No. 4, June 2019, pp. 657-665.
WWW Link.
1906
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Chu, Y.J.[Yong-Jie],
Zhao, L.[Lindu],
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Multiple feature subspaces analysis for single sample per person face
recognition,
VC(35), No. 2, February 2019, pp. 239-256.
WWW Link.
1906
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Zhu, X.Y.[Xiang-Yu],
Liu, H.[Hao],
Lei, Z.[Zhen],
Shi, H.L.[Hai-Lin],
Yang, F.[Fan],
Yi, D.[Dong],
Qi, G.J.[Guo-Jun],
Li, S.Z.[Stan Z.],
Large-Scale Bisample Learning on ID Versus Spot Face Recognition,
IJCV(127), No. 6-7, June 2019, pp. 684-700.
Springer DOI
1906
Given ID photo recognize probe photo.
BibRef
Wang, H.[Hua],
Zhang, D.S.[Ding-Sheng],
Miao, Z.H.[Zhong-Hua],
Face recognition with single sample per person using HOG-LDB and SVDL,
SIViP(13), No. 5, July 2019, pp. 985-992.
WWW Link.
1906
BibRef
Yuan, Y.L.[Yue-Lai],
Chen, D.H.[Di-Hu],
Hu, H.F.[Hai-Feng],
Du, L.S.[Ling-Shuang],
Hierarchical extended collaborative representation based classification
for single-sample face recognition,
IET-CV(13), No. 7, Octomber 2019, pp. 651-658.
DOI Link
1911
BibRef
Li, Q.[Qin],
Shi, X.S.[Xiao-Shuang],
Guo, Z.H.[Zhen-Hua],
Similarity mapping for robust face recognition via a single training
sample per person,
PRL(128), 2019, pp. 459-466.
Elsevier DOI
1912
Single training sample per person, Sparse representation,
Generating training samples
BibRef
Chen, T.[Ting],
Gao, T.[Tao],
Zhao, X.M.[Xiang-Mo],
Single sample description based on Gabor fusion,
IET-IPR(13), No. 14, 12 December 2019, pp. 2840-2849.
DOI Link
1912
BibRef
Mokhayeri, F.[Fania],
Granger, E.[Eric],
A paired sparse representation model for robust face recognition from
a single sample,
PR(100), 2020, pp. 107129.
Elsevier DOI
2005
Face recognition, Sparse representation-based classification,
Face synthesis, Generic learning, Simultaneous sparsity, Video surveillance
BibRef
Ebadi, M.[Mahlagha],
Kanan, H.R.[Hamidreza Rashidy],
Kalantari, M.[Mohammad],
Face recognition using patch manifold learning across plastic surgery
from a single training exemplar per enrolled person,
SIViP(14), No. 6, September 2020, pp. 1071-1077.
Springer DOI
2008
BibRef
Xue, S.[Shan],
Ren, H.P.[Hai-Peng],
Single sample per person face recognition algorithm based on the
robust prototype dictionary and robust variation dictionary
construction,
IET-IPR(16), No. 3, 2022, pp. 742-754.
DOI Link
2202
BibRef
Luan, X.[Xiao],
Wang, X.[Xin],
Liu, L.H.[Ling-Hui],
Li, W.S.[Wei-Sheng],
Multi-Level Dynamic Error Coding for Face Recognition with a
Contaminated Single Sample Per Person,
PRL(171), 2023, pp. 38-44.
Elsevier DOI
2306
Contaminated gallery database, Face recognition,
Single sample per person, Error coding
BibRef
Liu, H.[Hao],
Zhu, X.Y.[Xiang-Yu],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition,
CVPR19(11939-11948).
IEEE DOI
2002
Or some have a few samples.
BibRef
Bodini, M.[Matteo],
d'Amelio, A.[Alessandro],
Grossi, G.[Giuliano],
Lanzarotti, R.[Raffaella],
Lin, J.Y.[Jian-Yi],
Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA
Features,
ACIVS18(297-308).
Springer DOI
1810
BibRef
Tang, X.[Xu],
Du, D.K.[Daniel K.],
He, Z.[Zeqiang],
Liu, J.T.[Jing-Tuo],
PyramidBox: A Context-Assisted Single Shot Face Detector,
ECCV18(IX: 812-828).
Springer DOI
1810
BibRef
Lai, N.[Nan],
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Task-Adaptive Feature Reweighting for Few Shot Classification,
ACCV18(IV:649-662).
Springer DOI
1906
BibRef
Ma, Y.,
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Hierarchical Training for Large Scale Face Recognition with Few
Samples Per Subject,
ICIP18(2401-2405)
IEEE DOI
1809
Training, Face recognition, Face, Task analysis, Feature extraction,
Optimization, Visualization, face recognition,
few samples
BibRef
Wang, L.,
Li, Y.,
Wang, S.,
Feature Learning for One-Shot Face Recognition,
ICIP18(2386-2390)
IEEE DOI
1809
Training, Face recognition, Face, Training data, Indexes, Standards,
Benchmark testing, One-shot Learning, Face Recognition, Feature Learning
BibRef
Parchami, M.,
Bashbaghi, S.,
Granger, E.,
CNNs with cross-correlation matching for face recognition in video
surveillance using a single training sample per person,
AVSS17(1-6)
IEEE DOI
1806
Hadamard matrices, convolution, correlation methods,
face recognition, feature extraction, image matching,
Video surveillance
BibRef
Ding, Z.,
Guo, Y.,
Zhang, L.,
Fu, Y.,
One-Shot Face Recognition via Generative Learning,
FG18(1-7)
IEEE DOI
1806
Adaptation models, Data models, Face, Face recognition,
Feature extraction, Generators, Training, face recognition,
one shot learning
BibRef
Liang, B.,
Zheng, L.,
Han, J.,
Face Retrieval in Video Sequences Using a Single Face Sample,
DICTA17(1-6)
IEEE DOI
1804
face recognition, feature extraction,
image enhancement, image retrieval, image sequences,
Video sequences
BibRef
Hong, S.,
Im, W.,
Ryu, J.,
Yang, H.S.,
SSPP-DAN: Deep domain adaptation network for face recognition with
single sample per person,
ICIP17(825-829)
IEEE DOI
1803
Face, Face recognition, Feature extraction, Image generation, Probes,
Surveillance, Training, Domain adaptation, Image synthesis,
Surveillance camera
BibRef
Wu, Y.,
Liu, H.,
Fu, Y.,
Low-Shot Face Recognition with Hybrid Classifiers,
Million17(1933-1939)
IEEE DOI
1802
Data models, Face, Face recognition, Training, Training data
BibRef
Cheng, Y.,
Zhao, J.,
Wang, Z.,
Xu, Y.,
Jayashree, K.,
Shen, S.,
Feng, J.,
Know You at One Glance:
A Compact Vector Representation for Low-Shot Learning,
Million17(1924-1932)
IEEE DOI
1802
Attenuation, Face, Face recognition, Linear programming,
Optimization, Robustness, Standards
BibRef
Zhang, S.,
Zhu, X.,
Lei, Z.,
Shi, H.,
Wang, X.,
Li, S.Z.,
S^3FD: Single Shot Scale-Invariant Face Detector,
ICCV17(192-201)
IEEE DOI
1802
face recognition, image matching, image resolution, neural nets,
object detection, Nvidia Titan X, Pascal, S3FD,
Robustness
BibRef
Jadhav, A.[Aishwarya],
Namboodiri, V.P.[Vinay P.],
Venkatesh, K.S.,
Deep Attributes for One-Shot Face Recognition,
TASKCV16(III: 516-523).
Springer DOI
1611
BibRef
Liu, F.,
Tang, J.,
Song, Y.,
Huang, Q.,
Xu, F.,
A multi-phase sparse probability framework via entropy minimization
for single sample face recognition,
ICIP16(3887-3891)
IEEE DOI
1610
Databases
BibRef
Jangid, B.L.,
Biswas, K.K.,
Hanmandlu, M.,
Chetty, G.,
Illumination Invariant Efficient Face Recognition Using a Single
Training Image,
DICTA15(1-7)
IEEE DOI
1603
edge detection
BibRef
Liu, Y.[Yang],
Wassell, I.[Ian],
A New Face Recognition Algorithm based on Dictionary Learning for a
Single Training Sample per Person,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Liu, F.[Fan],
Bi, Y.[Ye],
Cui, Y.[Yan],
Tang, Z.M.[Zhen-Min],
Local Similarity Based Linear Discriminant Analysis for Face
Recognition with Single Sample per Person,
FSLCV14(III: 85-95).
Springer DOI
1504
BibRef
Liu, F.[Fan],
Tang, J.H.[Jin-Hui],
Song, Y.[Yan],
Xiang, X.G.[Xin-Guang],
Tang, Z.M.[Zhen-Min],
Local structure based sparse representation for face recognition with
single sample per person,
ICIP14(713-717)
IEEE DOI
1502
Bismuth
BibRef
Li, Y.[Ying],
Shen, W.[Wei],
Shi, X.[Xun],
Zhang, Z.J.[Zhi-Jiang],
Ensemble of Randomized Linear Discriminant Analysis for face
recognition with single sample per person,
FG13(1-8)
IEEE DOI
1309
face recognition
BibRef
Zhan, C.[Ce],
Li, W.Q.[Wan-Qing],
Ogunbona, P.[Philip],
Measuring face familiarity and its application to face recognition,
WACV12(177-183).
IEEE DOI
1203
BibRef
Earlier:
Finding distinctive facial areas for face recognition,
ICARCV10(1848-1853).
IEEE DOI
1109
BibRef
Earlier:
Face recognition from single sample based on human face perception,
IVCNZ09(56-61).
IEEE DOI
0911
BibRef
Hu, D.[Die],
Song, L.[Li],
Zhi, C.[Cheng],
Multi-illumination Face Recognition from a Single Training Image per
Person with Sparse Representation,
ACCV10(II: 672-682).
Springer DOI
1011
BibRef
Wong, Y.K.[Yong-Kang],
Sanderson, C.[Conrad],
Mau, S.[Sandra],
Lovell, B.C.[Brian C.],
Dynamic Amelioration of Resolution Mismatches for Local Feature Based
Identity Inference,
ICPR10(1200-1203).
IEEE DOI
1008
BibRef
Majumdar, A.,
Ward, R.K.,
Single image per person face recognition with images synthesized by
non-linear approximation,
ICIP08(2740-2743).
IEEE DOI
0810
BibRef
Li, X.[Xin],
Wang, K.J.[Ke-Jun],
Tian, Y.[Ye],
Weighted BDPCA Based on Local Feature for Face Recognition with a
Single Training Sample,
CISP09(1-5).
IEEE DOI
0910
BibRef
Chen, S.K.[Shao-Kang],
Sanderson, C.[Conrad],
Sun, S.[Sai],
Lovell, B.C.[Brian C.],
Representative feature chain for single gallery image face recognition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Shan, T.[Ting],
Chen, S.K.[Shao-Kang],
Sanderson, C.[Conrad],
Lovell, B.C.[Brian C.],
Towards robust face recognition for Intelligent-CCTV based surveillance
using one gallery image,
AVSBS07(470-475).
IEEE DOI
0709
BibRef
Sanderson, C.[Conrad],
Shang, T.[Ting],
Lovell, B.C.[Brian C.],
Towards Pose-Invariant 2D Face Classification for Surveillance,
AMFG07(276-289).
Springer DOI
0710
BibRef
Shan, T.[Ting],
Lovell, B.C.[Brian C.],
Chen, S.K.[Shao-Kang],
Face Recognition Robust to Head Pose from One Sample Image,
ICPR06(I: 515-518).
IEEE DOI
0609
BibRef
Chen, S.K.[Shao-Kang],
Lovell, B.C.[Brian C.],
Feature Space Hausdorff Distance for Face Recognition,
ICPR10(1465-1468).
IEEE DOI
1008
BibRef
Chen, S.K.[Shao-Kang],
Lovell, B.C.,
Illumination and Expression Invariant Face Recognition with One Sample
Image,
ICPR04(I: 300-303).
IEEE DOI
0409
BibRef
Le, H.S.[Hung-Son],
Li, H.B.[Hai-Bo],
Face identification from one single sample face image,
ICIP04(II: 1401-1404).
IEEE DOI
0505
BibRef
And:
Recognizing frontal face images using hidden markov models with one
training image per person,
ICPR04(I: 318-321).
IEEE DOI
0409
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Recognition Using Models .