Effective 3D based frontalization for unconstrained face recognition
暂无分享,去创建一个
Alberto Del Bimbo | Stefano Berretti | Giuseppe Lisanti | Claudio Ferrari | S. Berretti | G. Lisanti | A. Bimbo | C. Ferrari
[1] Thomas Vetter,et al. A morphable model for the synthesis of 3D faces , 1999, SIGGRAPH.
[2] Peter N. Belhumeur,et al. Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification , 2012, BMVC.
[3] Josef Kittler,et al. Efficient processing of MRFs for unconstrained-pose face recognition , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[4] Erik G. Learned-Miller,et al. Unsupervised Joint Alignment of Complex Images , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[5] Marios Savvides,et al. Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios , 2015, IEEE Transactions on Image Processing.
[6] Stan Z. Li,et al. Towards Pose Robust Face Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Tal Hassner,et al. Viewing Real-World Faces in 3D , 2013, 2013 IEEE International Conference on Computer Vision.
[8] Anil K. Jain,et al. Open source biometric recognition , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[9] Ioannis A. Kakadiaris,et al. Benchmarking asymmetric 3D-2D face recognition systems , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[10] Xiangyu Zhu,et al. High-fidelity Pose and Expression Normalization for face recognition in the wild , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jian Sun,et al. Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Alberto Del Bimbo,et al. Dictionary Learning Based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose , 2015, 2015 International Conference on 3D Vision.
[13] Fernando De la Torre,et al. Supervised Descent Method and Its Applications to Face Alignment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Honglak Lee,et al. Learning to Align from Scratch , 2012, NIPS.
[15] Anil K. Jain,et al. Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Josef Kittler,et al. Class-Specific Kernel Fusion of Multiple Descriptors for Face Verification Using Multiscale Binarised Statistical Image Features , 2014, IEEE Transactions on Information Forensics and Security.
[17] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[19] Stefanos Zafeiriou,et al. Robust Statistical Face Frontalization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Rama Chellappa,et al. Pose-Invariant Face Recognition Using Markov Random Fields , 2013, IEEE Transactions on Image Processing.
[21] Tal Hassner,et al. Effective face frontalization in unconstrained images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Erik Learned-Miller,et al. Labeled Faces in the Wild : Updates and New Reporting Procedures , 2014 .
[23] Alberto Del Bimbo,et al. Using 3D Models to Recognize 2D Faces in the Wild , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[24] Alberto Del Bimbo,et al. Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components , 2014, 2014 22nd International Conference on Pattern Recognition.