Large pose face alignment method based on convolutional neural network

LAN Min

doi:10.11805/tkyda2019447

[4] ZHU X,RAMANAN D. Face detection,pose estimation,and landmark localization in the wild[C]// IEEE conference on computer vision and pattern recognition. RI,USA:IEEE Computer Society, 2012:2879-2886.

[5] YU X,HUANG J,ZHANG S,et al. Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model[C]// Proceedings of the IEEE International Conference on Computer Vision. Sydney,NSW,Australia:IEEE Computer Society, 2013:1944-1951.

[6] WU Y,JI Q. Robust facial landmark detection under significant head poses and occlusion[C]// Proceedings of the IEEE International Conference on Computer Vision. Chile:IEEE Computer Society, 2015:3658-3666.

[7] BURGOS-ARTIZZU X P,PERONA P,DOLLáR P. Robust face landmark estimation under occlusion[C]// Proceedings of the IEEEInternational Conference on Computer Vision. Australia:IEEE Computer Society, 2013:1513-1520.

[9] QU Chengchao,MONARI Eduardo,SCHUCHERT Tobias,et al. Adaptive contour fitting for pose-invariant 3D face shape reconstruction[C]// 26th British Machine Vision Conference(BMVC). Swansea,UK:BMVA Press, 2015:1-12.

[10] ZHU X,YAN J, YI D, et al. Discriminative 3D morphable model fitting[C]// IEEE International Conference and Workshops on Automatic Face and Gesture Recognition(FG). Ljubljana,Slovenia:IEEE Press, 2015:1-8.

[11] SUN Y,WANG X,TANG X. Deep convolutional network cascade for facial point detection[C]// Proceedings of the IEEE conference on computer vision and pattern recognition. Portland,OR,USA:IEEE Computer Society, 2013:3476-3483.

[12] ZHANG J,SHAN S,KAN M,et al. Coarse to fine auto-encoder networks(cfan) for real-time face alignment[C]// European Conference on Computer Vision. Zurich,Switzerland:Springer,Cham, 2014:1-16.

[13] JOURABLOO A,LIU X. Pose-invariant 3D face alignment[C]// Proceedings of the IEEE International Conference on Computer Vision. Santiago de Chile:IEEE Computer Society, 2015:3694-3702.

[14] JIN K H,MC CANN M T,FROUSTEY E,et al. Deep convolutional neural network for inverse problems in imaging[J]. IEEE Transactions on Image Processing, 2017,26(9):4509-4522.

[15] TRAN L,YIN X,LIU X. Disentangled representation learning GAN for pose-invariant face recognition[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu,HI,USA:IEEE Computer Society, 2017:1415-1424.

[16] CAO C,WENG Y,ZHOU S,et al. Facewarehouse:a 3D facial expression database for visual computing[J]. IEEE Transactions on Visualization and Computer Graphics, 2013,20(3):413-425.

[17] CAO C,HOU Q,ZHOU K. Displaced dynamic expression regression for real-time facial tracking and animation[J]. ACM Transactions on Graphics(TOG), 2014,33(4):43.

[18] POLSON N G,RO.KOVá V. Posterior concentration for sparse deep learning[C]// Advances in Neural Information Processing Systems. Montréal,Canada:IEEE Press, 2018:930-941.

[19] KOESTINGER M,WOHLHART P,ROTH P M,et al. Annotated facial landmarks in the wild:a large-scale,real-world database for facial landmark localization[C]// IEEE international conference on computer vision workps(ICCV workshops). Barcelona, Spain:IEEE Computer Society, 2011:2144-2151.

[20] ZHANG Z,LUO P,LOY C C,et al. Facial landmark detection by deep multi-task learning[C]// European Conference on Computer Vision. Springer,Cham:IEEE Press, 2014:94-108.