Multi-PIE

Eigenfaces for Recognition

Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,798

Active appearance models

Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409

From few to many: illumination cone models for face recognition under variable lighting and pose

Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,917

Comprehensive database for facial expression analysis

Takeo Kanade, A., Cohn, J. F., & Tian, Y. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840611 · Cited by 2,644

The FERET database and evaluation procedure for face-recognition algorithms

Phillips, P. J., Wechsler, H., Huang, J., & Rauss, P. J. (1998) · Image and Vision Computing · doi:10.1016/s0262-8856(97)00070-x · Cited by 2,435

The AR face database

Martı́nez, A. M. (1998) · Medical Entomology and Zoology · Cited by 1,982

The CMU pose, illumination, and expression database

Sim, T., Baker, S., & Bsat, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251154 · Cited by 1,786

Active Appearance Models Revisited

Matthews, I., & Baker, S. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029666.37597.d3 · Cited by 1,538

XM2VTSDB: The Extended M2VTS Database

Messer, K., Matas, J., Kittler, J., Luettin, J., & Maître, G. (1999) · Cited by 1,158

A Review of Performance Evaluation on 2D Face Databases

Castaneda, G., & Khoshgoftaar, T. M. (2017) · IEEE International Conference on Big Data Computing Service and Applications (BigDataService) · doi:10.1109/bigdataservice.2017.38 · Cited by 2

Towards Visual Behavior Detection in Human-Machine Conversations

Roesler, O., & Suendermann‐Oeft, D. (2019) · International Conference on Informatics, Electronics & Vision (ICIEV) · doi:10.1109/iciev.2019.8858547 · Cited by 2

Machine Learning for Biometrics

Salah, A. A. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-818-7.ch402 · Cited by 2

Deep Q-Learning for Illumination and Rotation Invariant Face Detection

Ruiz-Garcia, A., Palade, V., Almakky, I., & Elshaw, M. (2019) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2019.8851861 · Cited by 2

What are you looking at? Automatic estimation and inference of gaze

Valenti, R. (2011) · UvA-DARE (University of Amsterdam) · Cited by 2

Face Frontalization Based on U-Net and Self-attention

Wu, Q., Zou, Z., & Tian, J. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-97-9128-6_3 · Cited by 1

Automatic Eye Detection Error as a Predictor of Face Recognition Performance

Dutta, A., Veldhuis, R. N. J., & Spreeuwers, L. (2014) · University of Twente Research Information · Cited by 1

Profile face detection using flipping scheme with genetic algorithm

You, M., & Akashi, T. (2015) · Asian Control Conference (ASCC) · doi:10.1109/ascc.2015.7244748 · Cited by 1

Robust part-based face matching with multiple templates

Kim, K.-H., Zhang, C., Zhang, Z., & Choi, S. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553791 · Cited by 1

Blockwise Linear Regression for Face Alignment

Sánchez, E., Argones-Rúa, E., & Alba‐Castro, J. L. (2013) · British Machine Vision Conference (BMVC) · doi:10.5244/c.27.85 · Cited by 1

Facial alignment by using sparse initialization and random forest

Liew, C. F., Yokoya, N., & Yairi, T. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025057 · Cited by 1

Face recognition using average example image

Hwang, W., Kim, W., Suh, S., Han, J., & Kim, J. (2014) · Electronics Letters · doi:10.1049/el.2014.2966 · Cited by 1

Personalized 3D-Aided 2D Facial Landmark Localization

Zeng, Z., Fang, T., Shah, S. K., & Kakadiaris, I. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-19309-5_49 · Cited by 1

Sparse modeling of high-dimensional data for learning and vision

Yan, S. (2011) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 1

Facial pose estimation via dense and sparse representation

Yu, H. L., & Liu, H. (2014) · IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS) · doi:10.1109/riiss.2014.7009177 · Cited by 1

Automated skin region quality assessment for texture-based biometrics

Alsufyani, H., Hoque, S., & Deravi, F. (2017) · International Conference on Emerging Security Technologies · doi:10.1109/est.2017.8090418 · Cited by 1

How far Generated Data Can Impact Neural Networks Performance?

Picha, S. G., Chanti, D. A., & Caplier, A. (2023) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0011629000003417 · Cited by 1

Learning a family of detectors

Sclaroff, S., & Yuan, Q. (2010) · Cited by 1

Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods

Liew, C. F., & Yairi, T. (2016) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2015edp7154 · Cited by 1

Face detection and landmark localization using Bilayer Tree Structured Model

Hsu, G.-S. J., Chang, K., Huang, S.-C., & Chung, S. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7351618 · Cited by 1

Gaussian Conditional Random Fields for Face Recognition

Smereka, J. M., Kumar, B. V. K. V., & Rodríguez, A. (2016) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2016.26 · Cited by 1

A novel correlation filter based on variational calculus

Ziou, D., Rizo-Rodríguez, D., Nacereddine, N., & Tabbone, S. (2019) · Signal Processing Image Communication · doi:10.1016/j.image.2019.06.003 · Cited by 1

Nonverbal Receiving Ability as Emotional and Cognitive Empathy: Conceptualization and Measurement

Buck, R. W., Graham, B., Allred, R., & Hancock, R. (2020) · Springer eBooks · doi:10.1007/978-3-030-34964-6_2 · Cited by 1

Disentangled Representation Learning and Its Application to Face Analytics

Metaxas, D., Zhao, L., & Peng, X. (2021) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-74697-1_3 · Cited by 1

Global and Regional Features

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_3 · Cited by 1

Mask Guided Unsupervised Face Frontalization using 3D Morphable Model from Single-View Images

Yin, J., Xu, Y., Wang, N., Li, Y., & Guo, S. (2022) · Asia Pacific Information Technology Conference (APIT) · doi:10.1145/3512353.3512358 · Cited by 1

A Comprehensive Investigation on Emotional Detection in Deep Learning

Anand, M., & Babu, S. (2022) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit228111 · Cited by 2

Vision Pipelines and Optimizations

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_8 · Cited by 1

View based approach to forensic face recognition

Dutta, A., van Rootseler, R. T. A., Veldhuis, R. N. J., & Spreeuwers, L. J. (2012) · University of Twente Research Information · Cited by 1

Precise Localization of Facial Features Based on Cascade Fusion

Chen, Y., Ai, C., & Hua, C. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-18129-0_43 · Cited by 1

Database Cross Matching: A Novel Source of Fictitious Forensic Cases

Dutta, A., Veldhuis, R. N. J., & Spreeuwers, L. J. (2012) · University of Twente Research Information

3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition

Shao, X., Zhou, X., Cheng, C., & Han, T. X. (2013) · Advances in intelligent systems research/Advances in Intelligent Systems Research · doi:10.2991/3ca-13.2013.30

A multi-affine model for tensor decomposition

Yang, Y., Zhang, L., Wang, S., Jiang, H., Murphy, C. J., & Hoeve, J. V. (2011) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2011.6130408

Hierarchical approach to weight equations in face tracking and recognition framework

Hisayoshi, C., & Shakunaga, T. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553770

Pixel features series fusion for precise facial components localisation in probabilistic framework

Chen, Y., & Hua, C. (2012) · The Imaging Science Journal · doi:10.1179/1743131x11y.0000000017

A framework for forensic face recognition based on recognition performance calibrated for the quality of image pairs

Dutta, A., Veldhuis, R. N. J., Spreeuwers, L. J., & Meuwly, D. (2012) · University of Twente Research Information

The Method to Verify Facial Shape Model

Kim, S., & Kang, S. (2015) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-19830-9_5

Challenge to Scalability of Face Recognition Using Universal Eigenface

Hisayoshi, C., Fukuda, T., & Shakunaga, T. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-29451-3_5

Robust facial landmark detection using mixture of discriminative visibility‐aware models

Liu, Y., Zhou, X., Li, Y., Shao, X., & Zhou, X. (2016) · IET Image Processing · doi:10.1049/iet-ipr.2015.0699

Local Feature Design Concepts

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_4 · Cited by 1

Mixture of trees with three layers

Hsu, G.-S. J., Ho, K.-C., & Hsieh, C.-H. (2017) · International Conference on Advanced Robotics and Intelligent Systems (ARIS) · doi:10.1109/aris.2017.8297179

Learning a Discriminative Projection and Representation for Image Classification

Zhong, Z., Wen, J., Gao, C., & Zhou, J. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99695-0_22

Dense Facial Landmark Localization: database and annotation tool

Ju, L., Zhu, X., Lei, Z., Cui, X., Yang, W., & Sun, C. (2019) · Youth Academic Annual Conference of Chinese Association of Automation (YAC) · doi:10.1109/yac.2019.8787631

Learning a minimum similarity projection and lowest correlation representation for image classification

Lu, S., Zhang, J., & Gao, Y. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2019.0683

Facial Expression Recognition Based on PCD-CNN with Pose and Expression

Dong, H., Xu, J., & Fu, Q. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-7981-3_38

Generative Adversarial Stacked AutoencodersPreprint

Ruiz-Garcia, A., Almakky, I., Palade, V., & Hicks, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.12236

Small data assisting face image illumination normalization

Han, X., Wang, H., Yang, H., & Li, X. (2021) · Computers & Graphics · doi:10.1016/j.cag.2021.04.025

Contrastive Data Learning for Facial Pose and Illumination Normalization

Hsu, G.-S. J., Tang, C.-H., Yanushkevich, S. N., & Gavrilova, M. L. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412811

Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient ReversalPreprint

Akhmetov, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.01467

An Unpaired Shape Transforming Method for Image Translation and Cross-Domain RetrievalPreprint

Wang, K., Ma, L., Jose Oramas, M., Gool, L. V., & Tuytelaars, T. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.02134

Unsupervised Machine Learning based rapid Pose-Invariant Three-Dimensional Facial Reconstruction for Biomedical Extended Reality and Phantom Generation in Oncologic Cranio-Maxillofacial Surgery

Pillai, A. (2022) · International Journal of Software & Hardware Research in Engineering · doi:10.26821/ijshre.10.1.2022.91101

Face Recognition

Qiao, Y., & Wang, X. (2020) · Springer eBooks · doi:10.1007/978-3-030-03243-2_354-1

Face Recognition

Qiao, Y., & Wang, X. (2021) · Springer eBooks · doi:10.1007/978-3-030-63416-2_354

Face Image Lighting Enhancement Using a 3D Model

Chen, Q., & Allebach, J. P. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00278

Application of Deep Convolutional Generative Adversarial Networks to Generate Pose Invariant Facial Image Synthesis Data

Imanda, J. N. T., Bachtiar, F. A., & Ridok, A. (2023) · Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) · doi:10.29207/resti.v7i5.5112 · Cited by 1

Vienna Talking Faces (ViTaFa): A multimodal person database with synchronized videos, images, and voices

Krumpholz, C., Quigley, C., Fusani, L., & Leder, H. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02264-5

A Mixture-of-Experts (MoE) Framework for Pose-Invariant Face Recognition via Local Landmark-Centered Feature Extraction

Otoya, P. E. L., & Lin, S. D. (2024) · Communications in computer and information science · doi:10.1007/978-981-97-1714-9_4

Enhancing Face Angle Transformation through Progressive Face Pose Transfer Using Multiple Discriminators

Cheng, H.-Y., & Yu, C.-C. (2024) · International Conference on Imaging, Signal Processing and Communications (ICISPC) · doi:10.1109/icispc63824.2024.00019

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

Zhao, W., Yang, C., Ye, J., Zhang, R., Yan, Y., Yang, X., Dong, B., Hussain, A., & Huang, K. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11208955

Trustworthy Localized Corrections-guided Mutual Learning for Multi-View Learning

Li, Q., Luo, Y., Sun, Y., Wu, T., & Chen, A. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11209409

Trustworthy Distributed Decision-Making for Multi-view Sensing Data

Song, Z., Pan, Y., Zhao, M., Ameen, M., Wang, Z., & Wang, P. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-2581-2_18

Applicability Evaluation of Synthetic Images for Performance Testing via Quality and Similarity Assessment

Nada, H., Ogawa, Y., Uchida, H., Ohki, T., Yamada, S., & Sumi, K. (2025) · International Conference of the Biometrics Special Interest Group (BIOSIG) · doi:10.1109/biosig65492.2025.11358214

Revisiting face processing with light field images

Chiesa, V. (2019) · theses.fr (ABES) · doi:10.70675/80f79425ze47fz4d5cz9fcdz78a5870569b2

HUST: High-Fidelity Unbiased Skin Tone Estimation via Texture Quantization

Ran, Z., Ren, X., An, X., Yang, K., Feng, Z., Yang, J., Potamias, R. A., Zhu, L., & Deng, J. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.01256

Advances in Neural 3D Mesh Texturing: A Survey

Perla, S. R. K., Zhang, H., & Amiri, A. M. (2026) · Computer Graphics Forum · doi:10.1111/cgf.70392 · Cited by 1

The impact of facial expression and head orientation on personality perception

Kara, M., Sonlu, S., Ergüzen, A. Ü., Durupınar, F., & Güdükbay, U. (2026) · Signal Image and Video Processing · doi:10.1007/s11760-026-05442-y

Privacy-Preserving Biometric Authentication in Resource-Constrained Environments: A PRISMA Systematic Review of Multimodal and Fuzzy-Vault Methods

Olarewaju, S., Sadiq, A. S., Kaiwartya, O., & Konios, A. (2026) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp6030103

Moodify: real-time music recommendation system integrating facial emotions with EEG signals

Duvvuri, K., Kanisettypalli, H., Mutyala, S. S. S., Kanisettypalli, K., Palaniswamy, S., & Singh, T. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.05.239

Face De-Identification: A Domain-Centric Survey From Capture to Processing

Wei, H., Yu, H., & Zhao, G. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3718681

Enhancement of Template-Based Face Detection by Belief Propagation in Ordered Component Search

Nejati, H., Bayat, E., Jahromi, A. T., & Maghareh, R. (2012) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-25781-0_101

Taxonomy of Feature Description Attributes

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_5

The CMU Pose, Illumination, and Expression (PIE) database

Sim, T., Baker, S. J., & Bsat, M. (2003) · doi:10.1109/afgr.2002.1004130 · Cited by 1,454

The CMU pose, illumination, and expression database

Sim, T., Baker, S., & Bsat, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251154 · Cited by 1,786

The CAS-PEAL large-scale chinese face database and baseline evaluations

Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., & Zhao, D. (2008) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2007.909557 · Cited by 773

Appeared in the 2002 International Conference on Automatic Face and Gesture Recognition The CMU Pose, Illumination, and Expression (PIE) Database

(2000)

PERFORMANCE ANALYSIS OF FACE RECOGNITION ALGORITHMS ON KOREAN FACE DATABASE

Roh, M.-C., & Lee, S. (2007) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001407005818 · Cited by 14