3D landmark-based face restoration for recognition using variational autoencoder and triplet loss

[1]  Vijay Kumar,et al.  Voxel-based 3D face reconstruction and its application to face recognition using sequential deep learning , 2020, Multimedia Tools and Applications.

[2]  Deepak Gupta,et al.  Facial expression recognition using iterative universum twin support vector machine , 2019, Appl. Soft Comput..

[3]  S Richmond,et al.  Comparison between landmark and surface-based three-dimensional analyses of facial asymmetry in adults. , 2015, European journal of orthodontics.

[4]  B. Guyuron,et al.  Factors Contributing to Facial Asymmetry in Identical Twins , 2014, Plastic and reconstructive surgery.

[5]  Xiaoou Tang,et al.  Learning Deep Representation for Face Alignment with Auxiliary Attributes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Mohammad Pooyan,et al.  Genetic algorithm-optimised structure of convolutional neural network for face recognition applications , 2016, IET Comput. Vis..

[7]  Ioannis A. Kakadiaris,et al.  End-to-End 3D Face Reconstruction with Deep Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Stephen R. Sullivan,et al.  The Relationship between Age and Facial Asymmetry , 2018, Plastic and reconstructive surgery.

[11]  Guilherme Thiesen,et al.  Facial asymmetry: a current review , 2015, Dental press journal of orthodontics.

[12]  Hong Chen,et al.  Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed , 2018, Multimedia Tools and Applications.

[13]  Jean-Luc Dugelay,et al.  KinectFaceDB: A Kinect Database for Face Recognition , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  Bailin Deng,et al.  3D Face Reconstruction With Geometry Details From a Single Image , 2017, IEEE Transactions on Image Processing.

[15]  José Ragot,et al.  Multi-task learning with one-class SVM , 2014, Neurocomputing.

[16]  Kun Zhou,et al.  3D shape regression for real-time facial animation , 2013, ACM Trans. Graph..

[17]  K. M. Bhurchandi,et al.  3-D face recognition: features, databases, algorithms and challenges , 2015, Artificial Intelligence Review.

[18]  Ilker Ercan,et al.  Facial asymmetry in young healthy subjects evaluated by statistical shape analysis , 2008, Journal of anatomy.

[19]  Damon L. Woodard,et al.  Deep Learning for Biometrics , 2018, ACM Comput. Surv..

[20]  Ajmal S. Mian,et al.  Deep, dense and accurate 3D face correspondence for generating population specific deformable models , 2017, Pattern Recognit..

[21]  Yu Qiao,et al.  Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.

[22]  Gee-Sern Hsu,et al.  Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition , 2017, IEEE Transactions on Circuits and Systems for Video Technology.