Lee, H.S.[Hyung-Soo],
Kim, D.J.[Dai-Jin],
Generating frontal view face image for pose invariant face recognition,
PRL(27), No. 7, May 2006, pp. 747-754.
Elsevier DOI
0604
BibRef
Earlier:
Pose Invariant Face Recognition Using Linear Pose Transformation in
Feature Space,
CVHCI04(211-220).
Springer DOI
0505
PCA; Kernel PCA; Pose transformation; Discriminant analysis;
Pose invariant face recognition
Extract features, transform face into frontal pose.
BibRef
Hao, Y.H.[Yuan-Hong],
Qi, C.[Chun],
A Unified Regularization Framework for Virtual Frontal Face Image
Synthesis,
SPLetters(22), No. 5, May 2015, pp. 559-563.
IEEE DOI
1411
Active appearance model
BibRef
Asthana, A.[Akshay],
Zafeiriou, S.P.[Stefanos P.],
Tzimiropoulos, G.,
Cheng, S.Y.[Shi-Yang],
Pantic, M.[Maja],
From Pixels to Response Maps: Discriminative Image Filtering for Face
Alignment in the Wild,
PAMI(37), No. 6, June 2015, pp. 1312-1320.
IEEE DOI
1506
BibRef
Earlier: A1, A2, A4, A5, Only:
Incremental Face Alignment in the Wild,
CVPR14(1859-1866)
IEEE DOI
1409
Active appearance model.
Generic face alignment
BibRef
Tzimiropoulos, G.[Georgios],
Pantic, M.[Maja],
Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild,
CVPR14(1851-1858)
IEEE DOI
1409
Deformable Part Models; Face Alignment; Gauss-Newton; In-the-wild
BibRef
Antonakos, E.[Epameinondas],
Zafeiriou, S.P.[Stefanos P.],
Automatic Construction of Deformable Models In-the-Wild,
CVPR14(1813-1820)
IEEE DOI
1409
BibRef
Sagonas, C.[Christos],
Panagakis, Y.[Yannis],
Zafeiriou, S.P.[Stefanos P.],
Pantic, M.[Maja],
Robust Statistical Frontalization of Human and Animal Faces,
IJCV(122), No. 2, April 2017, pp. 270-291.
Springer DOI
1704
BibRef
Earlier:
Robust Statistical Face Frontalization,
ICCV15(3871-3879)
IEEE DOI
1602
BibRef
Earlier:
RAPS: Robust and Efficient Automatic Construction of Person-Specific
Deformable Models,
CVPR14(1789-1796)
IEEE DOI
1409
batch image alignment
BibRef
Sagonas, C.[Christos],
Ververas, E.,
Panagakis, Y.[Yannis],
Zafeiriou, S.P.[Stefanos P.],
Recovering Joint and Individual Components in Facial Data,
PAMI(40), No. 11, November 2018, pp. 2668-2681.
IEEE DOI
1810
Matrix decomposition, Robustness, Sparse matrices, Visualization,
Data mining, Minimization, Computer vision, Low-rank, sparsity,
joint and individual components
BibRef
Sagonas, C.[Christos],
Panagakis, Y.[Yannis],
Leidinger, A.,
Zafeiriou, S.P.[Stefanos P.],
Robust Joint and Individual Variance Explained,
CVPR17(5739-5748)
IEEE DOI
1711
Closed-form solutions, Face, Optimization,
Robustness, Sparse matrices, Visualization
BibRef
Zafeiriou, S.P.[Stefanos P.],
Zhang, C.[Cha],
Zhang, Z.Y.[Zheng-You],
A survey on face detection in the wild: Past, present and future,
CVIU(138), No. 1, 2015, pp. 1-24.
Elsevier DOI
1506
Survey, Face Detection. Face detection
BibRef
Deng, W.H.[Wei-Hong],
Hu, J.[Jiani],
Wu, Z.J.[Zhong-Jun],
Guo, J.[Jun],
Lighting-aware face frontalization for unconstrained face recognition,
PR(68), No. 1, 2017, pp. 260-271.
Elsevier DOI
1704
Face frontalization
See also Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach. See also Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership.
BibRef
Wu, Z.J.[Zhong-Jun],
Li, J.Y.[Jia-Yu],
Hu, J.[Jiani],
Deng, W.H.[Wei-Hong],
Pose-invariant face recognition using 3D multi-depth generic elastic
models,
FG15(1-6)
IEEE DOI
1508
face recognition
BibRef
Zhang, T.[Ting],
Dong, Q.L.[Qiu-Lei],
Tang, M.[Ming],
Hu, Z.Y.[Zhan-Yi],
Two-Stream Deep Correlation Network for Frontal Face Recovery,
SPLetters(24), No. 10, October 2017, pp. 1478-1482.
IEEE DOI
1710
feature extraction, image fusion, image texture,
geometric characteristics,
multiplicative patch correlation layer, pose variations,
BibRef
Zhang, T.[Ting],
Wang, H.[Hong],
Dong, Q.L.[Qiu-Lei],
Deep Disentangling Siamese Network for Frontal Face Synthesis Under
Neutral Illumination,
SPLetters(25), No. 9, September 2018, pp. 1344-1348.
IEEE DOI
1809
face recognition, feature extraction, image coding,
image representation, learning (artificial intelligence),
Siamese network
BibRef
Xu, X.[Xin],
Liang, J.Z.[Jiu-Zhen],
Chen, C.[Chen],
Hou, Z.J.[Zhen-Jie],
Weighted similarity and distance metric learning for unconstrained face
verification with 3D frontalisation,
IET-IPR(13), No. 2, February 2019, pp. 399-408.
DOI Link
1902
BibRef
Zhang, Z.,
Chen, X.,
Wang, B.,
Hu, G.,
Zuo, W.,
Hancock, E.R.,
Face Frontalization Using an Appearance-Flow-Based Convolutional
Neural Network,
IP(28), No. 5, May 2019, pp. 2187-2199.
IEEE DOI
1903
convolutional neural nets, face recognition,
image colour analysis, image texture,
face recognition
BibRef
Pal, D.,
Bhagavatula, C.,
Zheng, Y.,
Tao, R.,
Savvides, M.,
Is Pose Really Solved? A Frontalization Study On Off-Angle Face
Matching,
WACV19(2058-2067)
IEEE DOI
1904
face recognition, image matching, pose estimation,
frontalization study, large-scale face recognition benchmarks,
Benchmark testing
BibRef
Liang, J.,
Liu, F.,
Tu, H.,
Zhao, Q.,
Jain, A.K.,
On Mugshot-based Arbitrary View Face Recognition,
ICPR18(3126-3131)
IEEE DOI
1812
Face, Shape, Face recognition, Image reconstruction, Probes.
BibRef
Damer, N.[Naser],
Wainakh, Y.,
Henniger, O.,
Méndez, N.[Nelson],
Bouza, L.A.[Luis A.],
Chang, L.[Leonardo],
Méndez-Vázquez, H.[Heydi],
Efficient and Effective Face Frontalization for Face Recognition in the
Wild,
CIARP17(391-398).
Springer DOI
1802
BibRef
Yin, X.,
Yu, X.,
Sohn, K.,
Liu, X.,
Chandraker, M.,
Towards Large-Pose Face Frontalization in the Wild,
ICCV17(4010-4019)
IEEE DOI
1802
face recognition, feature extraction,
image reconstruction, learning (artificial intelligence),
BibRef
Huang, R.,
Zhang, S.,
Li, T.,
He, R.,
Beyond Face Rotation: Global and Local Perception GAN for
Photorealistic and Identity Preserving Frontal View Synthesis,
ICCV17(2458-2467)
IEEE DOI
1802
face recognition, image coding,
learning (artificial intelligence), TP-GAN, adversarial loss,
Training
BibRef
Ferrari, C.,
Lisanti, G.,
Berretti, S.,
del Bimbo, A.,
Effective 3D based frontalization for unconstrained face recognition,
ICPR16(1047-1052)
IEEE DOI
1705
Face, Face recognition, Rendering (computer graphics),
Solid modeling.
BibRef
Wang, Y.M.[Yi-Ming],
Yu, H.[Hui],
Dong, J.Y.[Jun-Yu],
Jian, M.,
Liu, H.H.[Hong-Hai],
Cascade support vector regression-based facial expression-aware face
frontalization,
ICIP17(2831-2835)
IEEE DOI
1803
Estimation, Face, Face recognition, Shape, Support vector machines,
support vector regression
BibRef
Wang, Y.M.[Yi-Ming],
Yu, H.[Hui],
Dong, J.Y.[Jun-Yu],
Stevens, B.[Brett],
Liu, H.H.[Hong-Hai],
Facial Expression-Aware Face Frontalization,
ACCV16(III: 375-388).
Springer DOI
1704
BibRef
Hassner, T.[Tal],
Harel, S.[Shai],
Paz, E.[Eran],
Enbar, R.[Roee],
Effective face frontalization in unconstrained images,
CVPR15(4295-4304)
IEEE DOI
1510
BibRef
Cheung, K.W.[Kin-Wang],
Chen, J.S.[Jian-Sheng],
Moon, Y.S.[Yiu-Sang],
Synthesizing Frontal Faces on Calibrated Stereo Cameras for Face
Recognition,
ICB09(347-356).
Springer DOI
0906
BibRef
Earlier:
Pose-tolerant Non-frontal Face Recognition using EBGM,
BTAS08(1-6).
IEEE DOI
0809
BibRef
Xiang, Y.[Yan],
Su, G.D.[Guang-Da],
Multi-parts and multi-feature fusion in face verification,
Biometrics08(1-6).
IEEE DOI
0806
BibRef
Li, C.C.[Cong-Cong],
Su, G.D.[Guang-Da],
Shang, Y.[Yan],
Li, Y.C.[Ying-Chun],
Xiang, Y.[Yan],
Face Recognition Based on Pose-Variant Image Synthesis and Multi-level
Multi-feature Fusion,
AMFG07(261-275).
Springer DOI
0710
BibRef
Li, C.C.[Cong-Cong],
Su, G.D.[Guang-Da],
Shang, Y.[Yan],
Li, Y.C.[Ying-Chun],
Frontal Face Synthesis Based on Multiple Pose-Variant Images for Face
Recognition,
ICB07(948-957).
Springer DOI
0708
BibRef
Blanz, V.[Volker],
Grother, P.J.[Patrick J.],
Phillips, P.J.[P. Jonathon],
Vetter, T.[Thomas],
Face Recognition Based on Frontal Views Generated from Non-Frontal
Images,
CVPR05(II: 454-461).
IEEE DOI
0507
BibRef
Ma, J.,
Ahuja, N.,
Recovering Frontal-pose Image from a Single Profile Image,
ICIP00(Vol II: 243-246).
IEEE DOI
0008
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Hallucination for Recognition Using Three-Dimensional Models .