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Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class.
V. Blanz and T. Vetter, “A morphable model for the synthesis of 3d faces,” in
1999
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2002
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V. Blanz and T. Vetter, “Face recognition based on fitting a 3d morphable model,”
2003
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B. Allen, B. Curless, B. Curless, and Z. Popović, “The space of human body shapes: reconstruction and parameterization from range scans,” in
2003
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A. M. Bronstein, M. M. Bronstein, and R. Kimmel, “Expression-invariant 3d face recognition,” in
2003
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B. Amberg, S. Romdhani, and T. Vetter, “Optimal step nonrigid icp algorithms for surface registration,” in
2007
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R. Davies, C. Twining, and C. Taylor,
2008
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N. Hasler, C. Stoll, M. Sunkel, B. Rosenhahn, and H.-P. Seidel, “A statistical model of human pose and body shape,” in
2009
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P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter, “A 3d face model for pose and illumination invariant face recognition,” in
2009
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D. W. Hansen and Q. Ji, “In the eye of the beholder: A survey of models for eyes and gaze,”
2009
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V. Lepetit, F. Moreno-Noguer, and P. Fua, “Epnp: An accurate o (n) solution to the pnp problem,”
2009
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M. De Smet and L. Van Gool, “Optimal regions for linear model-based 3d face reconstruction,” in
2010
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L. Yuan, Z.-h. Wang, and Z.-c. Mu, “Ear recognition under partial occlusion based on neighborhood preserving embedding,” in
2010
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S. M. Islam, R. Davies, M. Bennamoun, and A. S. Mian, “Efficient detection and recognition of 3d ears,”
2011
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A. Pflug and C. Busch, “Ear biometrics: a survey of detection, feature extraction and recognition methods,”
2012
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O. Aldrian and W. A. P. Smith, “Inverse rendering of faces with a 3d morphable model,”
2013
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A. Abaza, A. Ross, C. Hebert, M. A. F. Harrison, and M. S. Nixon, “A survey on ear biometrics,”
2013
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C. T. Jin, P. Guillon, N. Epain, R. Zolfaghari, A. Van Schaik, A. I. Tew, C. Hetherington, and J. Thorpe, “Creating the sydney york morphological and acoustic recordings of ears database,”
2013
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P. Bérard, D. Bradley, M. Nitti, T. Beeler, and M. Gross, “High-quality capture of eyes,”
2014
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C. T. Jin, P. Guillon, N. Epain, R. Zolfaghari, A. van Schaik, A. I. Tew, C. Hetherington, and J. Thorpe, “Creating the sydney york morphological and acoustic recordings of ears database,”
2014
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A. Brunton, A. Salazar, T. Bolkart, and S. Wuhrer, “Review of statistical shape spaces for 3d data with comparative analysis for human faces,”
2014
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K. A. Funes Mora, F. Monay, and J.-M. Odobez, “Eyediap: A database for the development and evaluation of gaze estimation algorithms from rgb and rgb-d cameras,” in
2014
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Y. Sugano, Y. Matsushita, and Y. Sato, “Learning-by-synthesis for appearance-based 3d gaze estimation,” in
2014
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F. Lu, Y. Sugano, T. Okabe, and Y. Sato, “Adaptive linear regression for appearance-based gaze estimation,”
2014
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T. Schneider, B. Schauerte, and R. Stiefelhagen, “Manifold alignment for person independent appearance-based gaze estimation,” in
2014
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F. C. Staal, A. J. Ponniah, F. Angullia, C. Ruff, M. J. Koudstaal, and D. Dunaway, “Describing crouzon and pfeiffer syndrome based on principal component analysis,”
2015
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X. Zhu, J. Yan, D. Yi, Z. Lei, and S. Z. Li, “Discriminative 3d morphable model fitting,” in
2015
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T. Li, T. Bolkart, M. J. Black, H. Li, and J. Romero, “Learning a model of facial shape and expression from 4d scans,”
2017
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L. Hu, S. Saito, L. Wei, K. Nagano, J. Seo, J. Fursund, I. Sadeghi, C. Sun, Y.-C. Chen, and H. Li, “Avatar digitization from a single image for real-time rendering,”
2017
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M. Lüthi, T. Gerig, C. Jud, and T. Vetter, “Gaussian process morphable models,”
2017
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S. Moschoglou, A. Papaioannou, C. Sagonas, J. Deng, I. Kotsia, and S. Zafeiriou, “Agedb: the first manually collected, in-the-wild age database,” in
2017
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Y. Zhou and S. Zaferiou, “Deformable models of ears in-the-wild for alignment and recognition,” in
2017
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X. Zhu, Z. Lei, J. Yan, D. Yi, and S. Z. Li, “High-fidelity pose and expression normalization for face recognition in the wild,” in
2015
Cited alongside, same era.
X. Zhang, Y. Sugano, M. Fritz, and A. Bulling, “Appearance-based gaze estimation in the wild,” in
2015
Cited alongside, same era.
T. Bolkart and S. Wuhrer, “A groupwise multilinear correspondence optimization for 3d faces,” in
2015
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X. Zhang, Y. Sugano, M. Fritz, and A. Bulling, “Appearance-based gaze estimation in the wild,” in
2015
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G. Hu, F. Yan, C.-H. Chan, W. Deng, W. Christmas, J. Kittler, and N. M. Robertson, “Face recognition using a unified 3d morphable model,” in
2016
Cited alongside, same era.
P. Huber, G. Hu, R. Tena, P. Mortazavian, P. Koppen, W. J. Christmas, M. Ratsch, and J. Kittler, “A multiresolution 3d morphable face model and fitting framework,” in
2016
Cited alongside, same era.
X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li, “Face alignment across large poses: A 3d solution,” in
2016
Cited alongside, same era.
H. Joo, T. Simon, and Y. Sheikh, “Total capture: A 3d deformation model for tracking faces, hands, and bodies,” in
2018
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——, “Expnet: Landmark-free, deep, 3d facial expressions,” in
2018
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L. Tran and X. Liu, “Nonlinear 3d face morphable model,” in
2018
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2018
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S. Park, A. Spurr, and O. Hilliges, “Deep pictorial gaze estimation,” in
2018
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H. Dai, N. Pears, and W. Smith, “A data-augmented 3d morphable model of the ear,” in
2018
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T. Gerig, A. Morel-Forster, C. Blumer, B. Egger, M. Luthi, S. Schönborn, and T. Vetter, “Morphable face models-an open framework,” in
2018
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P. Koppen, Z.-H. Feng, J. Kittler, M. Awais, W. Christmas, X.-J. Wu, and H.-F. Yin, “Gaussian mixture 3d morphable face model,”
2018
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J. Deng, Y. Zhou, S. Cheng, and S. Zafeiriou, “Cascade multi-view hourglass model for robust 3d face alignment,” in
2018
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T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro, “High-resolution image synthesis and semantic manipulation with conditional gans,” in
2018
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2019
Closest in time.
S. Ploumpis, H. Wang, N. Pears, W. A. Smith, and S. Zafeiriou, “Combining 3d morphable models: A large scale face-and-head model,” in
2019
Closest in time.
B. Gecer, S. Ploumpis, I. Kotsia, and S. Zafeiriou, “Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction,” in
2019
Closest in time.
F.-J. Chang, A. T. Tran, T. Hassner, I. Masi, R. Nevatia, and G. Medioni, “Deep, landmark-free fame: Face alignment, modeling, and expression estimation,”
2019
Closest in time.
L. Tran, F. Liu, and X. Liu, “Towards high-fidelity nonlinear 3d face morphable model,” in
2019
Closest in time.