22.2.8.4.1 Finding Three-Dimensional Facial Features, 3-D Face Features

Chapter Contents (Back)
Facial Features. Facial Landmarks. Depth. 3-D. 3-D Facial Features. 3D Features
See also Face Recognition Using Three-Dimensional Models, 3-D Models.

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IEEE DOI 0301
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Earlier:
Face shape extraction and recognition using 3D morphing and distance mapping,
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An efficient method to detect facial fiducial points for face recognition,
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Earlier:
A Face Recognition System Based on Local Feature Analysis,
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Campadelli, P., Lanzarotti, R., Savazzi, C.,
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See also Learning the best subset of local features for face recognition. BibRef 0700

Dibeklioglu, H.[Hamdi], Salah, A.A.[Albert Ali], Gevers, T.[Theo],
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MultMed(17), No. 3, March 2015, pp. 279-294.
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Earlier:
Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles,
ECCV12(III: 525-538).
Springer DOI 1210
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Dibeklioglu, H.[Hamdi], Salah, A.A.[Albert Ali], Akarun, L.[Lale],
3D Facial Landmarking under Expression, Pose, and Occlusion Variations,
BTAS08(1-6).
IEEE DOI 0809
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Salah, A.A.[Albert Ali], Akarun, L.[Lale],
3D Facial Feature Localization for Registration,
MRSC06(338-345).
Springer DOI BibRef 0600

Salah, A.A.[Albert Ali], Alyuz, N.[Nese], Akarun, L.[Lale],
Alternative face models for 3D face registration,
SPIE(6499), 2006, pp. xx-yy.
WWW Link. BibRef 0600

Matthews, I.[Iain], Xiao, J.[Jing], Baker, S.[Simon],
2D vs. 3D Deformable Face Models: Representational Power, Construction, and Real-Time Fitting,
IJCV(75), No. 1, October 2007, pp. 93-113.
Springer DOI 0709
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Earlier:
On the Dimensionality of Deformable Face Models,
CMU-RI-TR-06-12, March, 2006.
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Yuasa, M.[Mayumi], Kozakaya, T.[Tatsuo], Yamaguchi, O.[Osamu],
An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points,
IEICE(E91-D), No. 7, July 2008, pp. 1871-1877.
DOI Link 0807
BibRef

Cheddad, A.[Abbas], Mohamad, D.[Dzulkifli], Manaf, A.A.[Azizah Abd],
Exploiting Voronoi diagram properties in face segmentation and feature extraction,
PR(41), No. 12, December 2008, pp. 3842-3859.
Elsevier DOI 0810
Biometric; Voronoi diagram; Delaunay triangulations; Distance transformation; Features extraction BibRef

Wang, Y.[Yang], Zhang, L.[Lei], Liu, Z.C.[Zi-Cheng], Hua, G.[Gang], Wen, Z.[Zhen], Zhang, Z.Y.[Zheng-You], Samaras, D.[Dimitris],
Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions,
PAMI(31), No. 11, November 2009, pp. 1968-1984.
IEEE DOI 0910
Modify when geometry and albedo is unknown. Integrate spherical harmonics into the morphable model framework.
See also Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics. BibRef

Wang, Y.[Yang], Liu, Z.C.[Zi-Cheng], Hua, G.[Gang], Wen, Z.[Zhen], Zhang, Z.Y.[Zheng-You], Samaras, D.[Dimitris],
Face Re-Lighting from a Single Image under Harsh Lighting Conditions,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Samaras, D.[Dimitris], Wang, Y.[Yang], Zhang, L.[Lei], Wang, S.[Sen], Gupta, M.[Mohit],
Face Modeling and Analysis in Stony Brook University,
CVPR05(II: 1200).
IEEE DOI 0507
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Hu, Y.[Yuan], Yan, J.Q.[Jing-Qi], Li, W.[Wei], Shi, P.F.[Peng-Fei],
3D Face Landmarking Method under Pose and Expression Variations,
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Ming, Y.[Yue], Ruan, Q.Q.[Qiu-Qi],
Robust sparse bounding sphere for 3D face recognition,
IVC(30), No. 8, August 2012, pp. 524-534.
Elsevier DOI 1209
3D face recognition; Robust sparse bounding sphere representation; Bounding sphere representation; Rank minimization; Robust group sparse regression model BibRef

Ming, Y.[Yue],
Robust regional bounding spherical descriptor for 3D face recognition and emotion analysis,
IVC(35), No. 1, 2015, pp. 14-22.
Elsevier DOI 1503
3D face recognition BibRef

Ming, Y.[Yue], Ruan, Q.Q.[Qiu-Qi], Ni, R.R.[Rong-Rong],
Learning effective features for 3D face recognition,
ICIP10(2421-2424).
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Liu, P., Wang, Y., Huang, D., Zhang, Z., Chen, L.,
Learning the Spherical Harmonic Features for 3-D Face Recognition,
IP(22), No. 3, March 2013, pp. 914-925.
IEEE DOI 1302
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Fanelli, G.[Gabriele], Dantone, M.[Matthias], Gall, J.[Juergen], Fossati, A.[Andrea], Van Gool, L.J.[Luc J.],
Random Forests for Real Time 3D Face Analysis,
IJCV(101), No. 3, February 2013, pp. 437-458.
WWW Link. 1303
BibRef
Earlier: A2, A3, A1, A5, Only:
Real-time facial feature detection using conditional regression forests,
CVPR12(2578-2585).
IEEE DOI 1208
BibRef

Sangineto, E.[Enver],
Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance,
PAMI(35), No. 3, March 2013, pp. 624-638.
IEEE DOI 1303
combining 3D shape models with local image patch classification BibRef

Zhang, Z.P.[Zhan-Peng], Zhang, W.[Wei], Liu, J.Z.[Jian-Zhuang], Tang, X.O.[Xiao-Ou],
Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns,
CirSysVideo(24), No. 9, September 2014, pp. 1475-1485.
IEEE DOI 1410
decision trees BibRef

Zhang, Z.P.[Zhan-Peng], Zhang, W.[Wei], Ding, H.J.[Hui-Jun], Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou],
Hierarchical facial landmark localization via cascaded random binary patterns,
PR(48), No. 4, 2015, pp. 1277-1288.
Elsevier DOI 1502
Facial landmark localization BibRef

Song, M.L.[Ming-Li], Tao, D.C.[Da-Cheng], Sun, S.P.[Sheng-Peng], Chen, C.[Chun], Maybank, S.J.,
Robust 3D Face Landmark Localization Based on Local Coordinate Coding,
IP(23), No. 12, December 2014, pp. 5108-5122.
IEEE DOI 1412
face recognition BibRef

Uzair, M.[Muhammad], Mahmood, A.[Arif], Mian, A.[Ajmal],
Hyperspectral Face Recognition With Spatiospectral Information Fusion and PLS Regression,
IP(24), No. 3, March 2015, pp. 1127-1137.
IEEE DOI 1502
BibRef
Earlier:
Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares,
BMVC13(xx-yy).
DOI Link 1402
Databases BibRef

Hajati, F.[Farshid], Cheraghian, A.[Ali], Gheisari, S.[Soheila], Gao, Y.S.[Yong-Sheng], Mian, A.S.[Ajmal S.],
Surface geodesic pattern for 3D deformable texture matching,
PR(62), No. 1, 2017, pp. 21-32.
Elsevier DOI 1609
BibRef
Earlier: A2, A1, A4, A5, A3:
3D face recognition using topographic high-order derivatives,
ICIP13(3705-3709)
IEEE DOI 1402
3D non-rigid object recognition. 3D face; Topography; face recognition; high-order derivatives BibRef

Li, H.B.[Hui-Bin], Huang, D.[Di], Morvan, J.M.[Jean-Marie], Wang, Y.H.[Yun-Hong], Chen, L.M.[Li-Ming],
Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors,
IJCV(113), No. 2, June 2015, pp. 128-142.
Springer DOI 1506
BibRef

Sukno, F.M.[Federico M.], Waddington, J.L.[John L.], Whelan, P.F.[Paul F.],
3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features,
Cyber(45), No. 9, September 2015, pp. 1717-1730.
IEEE DOI 1509
BibRef
Earlier:
3D Facial Landmark Localization Using Combinatorial Search and Shape Regression,
NORDIA12(I: 32-41).
Springer DOI 1210
BibRef
And:
Comparing 3d Descriptors for Local Search of Craniofacial Landmarks,
ISVC12(II: 92-103).
Springer DOI 1209
combinatorial mathematics BibRef

Ouamane, A., Belahcene, M., Benakcha, A., Bourennane, S., Taleb-Ahmed, A.,
Robust multimodal 2D and 3D face authentication using local feature fusion,
SIViP(10), No. 1, January 2016, pp. 129-137.
Springer DOI 1601
BibRef

Cech, J.[Jan], Franc, V.[Vojtech], Uricár, M.[Michal], Matas, J.G.[Jirí G.],
Multi-view facial landmark detection by using a 3D shape model,
IVC(47), No. 1, 2016, pp. 60-70.
Elsevier DOI 1605
BibRef
Earlier: A1, A2, A4, Only: Cech, J.[Jan], Franc, V.[Vojtech], Matas, J.G.[Jiri G.],
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking,
ICPR14(2173-2178)
IEEE DOI 1412
Cameras; Detectors; Face; Shape; Solid modeling BibRef

Yu, X.[Xiang], Huang, J.Z.[Jun-Zhou], Zhang, S.T.[Shao-Ting], Metaxas, D.N.[Dimitris N.],
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,
PAMI(38), No. 11, November 2016, pp. 2212-2226.
IEEE DOI 1610
Databases
See also Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization, A. BibRef

Yu, X.[Xiang], Huang, J.Z.[Jun-Zhou], Zhang, S.T.[Shao-Ting], Yan, W.[Wang], Metaxas, D.N.[Dimitris N.],
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model,
ICCV13(1944-1951)
IEEE DOI 1403
Face landmark localization BibRef

Fan, X.[Xin], Jia, Q.[Qi], Huyan, K.[Kang], Gu, X.F.[Xian-Feng], Luo, Z.X.[Zhong-Xuan],
3D facial landmark localization using texture regression via conformal mapping,
PRL(83, Part 3), No. 1, 2016, pp. 395-402.
Elsevier DOI 1609
3D facial landmark detection BibRef

Tang, Y.H.[Yin-Hang], Li, H.B.[Hui-Bin], Sun, X.[Xiang], Morvan, J.M.[Jean-Marie], Chen, L.M.[Li-Ming],
Principal Curvature Measures Estimation and Application to 3D Face Recognition,
JMIV(59), No. 2, October 2017, pp. 211-233.
Springer DOI 1709
BibRef

Liu, X.[Xin], Xie, L.[Lu], Zhong, B.N.[Bi-Neng], Du, J.X.[Ji-Xiang], Peng, Q.[Qinmu],
Automatic facial flaw detection and retouching via discriminative structure tensor,
IET-IPR(11), No. 11, November 2017, pp. 1068-1076.
DOI Link 1711
BibRef

Soltanpour, S.[Sima], Boufama, B.[Boubakeur], Wu, Q.M.J.[Q.M. Jonathan],
A survey of local feature methods for 3D face recognition,
PR(72), No. 1, 2017, pp. 391-406.
Elsevier DOI 1708
Survey, Facial Features. Face, recognition BibRef

Han, Z.Z.[Zhi-Zhong], Liu, Z.B.[Zhen-Bao], Vong, C.M.[Chi-Man], Liu, Y.S.[Yu-Shen], Bu, S.H.[Shu-Hui], Han, J.W.[Jun-Wei], Chen, C.L.P.[C. L. Philip],
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax,
IP(27), No. 6, June 2018, pp. 3049-3063.
IEEE DOI 1804
Face, Feature extraction, Image coding, Neural networks, Shape, Spatial resolution, Deep spatial, spatially-enhanced 3D features BibRef

Han, Z., Liu, Z., Han, J., Vong, C., Bu, S., Chen, C.L.P.,
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy,
Cyber(49), No. 2, February 2019, pp. 481-494.
IEEE DOI 1901
Shape, Machine learning, Solid modeling, Feature extraction, Geometry, Topology, Visualization, 3-D local features, unsupervised feature learning BibRef

Yu, C.C.[Cui-Can], Zhang, Z.H.[Zi-Hui], Li, H.B.[Hui-Bin], Sun, J.[Jian], Xu, Z.B.[Zong-Ben],
A distribution independence based method for 3D face shape decomposition,
CVIU(210), 2021, pp. 103244.
Elsevier DOI 2109
3D face shape decomposition, Distribution independence, Variational inference, Graph convolutional network BibRef

Li, Y.[Yuan], Wang, J.[Jian], Liang, W.[Weibo], Xue, H.[Hui], He, Z.A.[Zhen-An], Lv, J.C.[Jian-Cheng], Zhang, L.[Lin],
CR-GAN: Automatic craniofacial reconstruction for personal identification,
PR(124), 2022, pp. 108400.
Elsevier DOI 2203
Craniofacial reconstruction, CT scans, Deep learning BibRef

Hu, X.B.[Xia-Bin], Ren, W.Q.[Wen-Qi], Yang, J.[Jiaolong], Cao, X.C.[Xiao-Chun], Wipf, D.[David], Menze, B.[Bjoern], Tong, X.[Xin], Zha, H.B.[Hong-Bin],
Face Restoration via Plug-and-Play 3D Facial Priors,
PAMI(44), No. 12, December 2022, pp. 8910-8926.
IEEE DOI 2212
Face recognition, Faces, Image restoration, Superresolution, Task analysis, Neural networks, Face restoration, 3D facial priors, identity knowledge BibRef

Lee, J.Y.[Jih-Yun], Bhattarai, B.[Binod], Kim, T.K.[Tae-Kyun],
Face Parsing from RGB and Depth Using Cross-Domain Mutual Learning,
AMFG21(1501-1510)
IEEE DOI 2109
Training, Solid modeling, Head, Face recognition BibRef

Sandru, A.[Adrian], Duta, G.E.[Georgian-Emilian], Georgescu, M.I.[Mariana-Iuliana], Ionescu, R.T.[Radu Tudor],
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition,
WACV21(2816-2825)
IEEE DOI 2106
Training, Personal protective equipment, Deep learning, Head, Pipelines, Surgery, Detectors BibRef