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IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, ISSN 1057-7149, 03/2015, Volume 24, Issue 3, pp. 980 - 993
Journal Article
ACM Transactions on Intelligent Systems and Technology (TIST), ISSN 2157-6904, 04/2016, Volume 7, Issue 3, pp. 1 - 42
Journal Article
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2017, Volume 66, pp. 144 - 152
Pose-invariant face recognition (PIFR) refers to the ability that recognizes face images with arbitrary pose variations. Among existing PIFR algorithms, pose... 
Pose normalization | Face synthesis | Homography | Pose-invariant face recognition | IMAGE | ILLUMINATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Artificial intelligence | Analysis | Biometry
Journal Article
Human-centric Computing and Information Sciences, ISSN 2192-1962, 12/2018, Volume 8, Issue 1, pp. 1 - 27
3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such... 
3D face database | 3D face recognition | Pose-invariant face recognition | Occlusion-invariant face recognition | Expression-invariant face recognition | 3-D FACE | IMAGE | SHAPES | FACIAL EXPRESSION | COMPUTER SCIENCE, INFORMATION SYSTEMS | MODEL | FEATURES | Occlusion | Face recognition | Invariants
Journal Article
Image and Vision Computing, ISSN 0262-8856, 04/2015, Volume 36, pp. 9 - 22
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 11/2012, Volume 116, Issue 11, pp. 1095 - 1110
► We show that latent space methods are effective for pose-invariant-face recognition. ► We compare popular latent space techniques for pose-invariant-face... 
CCA | Coupled latent space | Pose-invariant-face recognition | Discriminant coupled subspaces | PLS | ILLUMINATION | EIGENFACES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Biometry | Learning | Discriminant analysis | Error analysis | Face recognition | Least squares method | Images | Subspaces | Invariants
Journal Article
Neural Computing and Applications, ISSN 0941-0643, 1/2019, Volume 31, Issue S1, pp. 607 - 616
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 08/2018, Volume 111, pp. 109 - 116
In this paper, we propose a low-complexity method to learn pose-invariant features for face recognition with no need for pose information. In contrast to the... 
Feature learning | Face recognition | Pose invariant | Self-similarity | SPACE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Biometry | Methods
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 08/2015, Volume 84, pp. 78 - 88
Face recognition across pose is a popular issue in biometrics. Facial rotations caused by pose dramatically enlarge the intra-class variations, which... 
Feature extraction | Face recognition | Facial landmarks | Pose invariant | Weber local descriptors | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Biometry
Journal Article
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 14653 - 14670
Face alignment is a crucial step in face recognition. Through making the position of face consistent, face alignment reduces intra-class variability due to... 
Training | APA | Face recognition | Pipelines | Two dimensional displays | Face alignment | intra-class variability | Feature extraction | Face | pose-invariant face recognition | Testing | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, 05/2015, Volume 10, Issue 5, pp. 969 - 984
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 02/2019, Volume 59, pp. 455 - 460
Extracting efficient features from the large volume of 3D facial data directly is extremely difficult in 3D face recognition (3D-FR) with the latest methods,... 
Frenet framework | 3D face recognition | Pose invariant | Facial curves | Iso-geodesic | COMPUTER SCIENCE, SOFTWARE ENGINEERING | INVARIANT | COMPUTER SCIENCE, INFORMATION SYSTEMS | Biometry
Journal Article
Proceedings of the IEEE, ISSN 0018-9219, 11/2006, Volume 94, Issue 11, pp. 1977 - 1999
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 2416 - 2423
One of the most challenging task in face recognition is to identify people with varied poses. Namely, the test faces have significantly different poses... 
Training | Analytical models | Three-dimensional displays | Face recognition | Pose-Invariant | Transforms | Feature extraction | Sparse | Random Faces | Biological neural networks | Many-to-One Encoder | Face Recognition | Coders | Computer vision | Construction | Accuracy | Conferences | Neural networks | Encoders
Conference Proceeding
Pattern Recognition Letters, ISSN 0167-8655, 12/2015, Volume 68, pp. 83 - 89
In this paper, a novel method is proposed for unconstrained pose-invariant face recognition from only an image in a gallery. A 3D face is initially... 
Collaborative representation | Face synthesis | Collaborative dictionary matrix | Pose-invariant face recognition | Real-world | IMAGE | Real world | REPRESENTATION | DEFORMABLE MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Biometry | Analysis
Journal Article