References
- Zhao, G., M. Pietikainen. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, 2007, No 6, pp. 915-928.
- Huang, D., C. Shan, M. Ardabilian, Y. Wang, L. Chen. Local Binary Patterns and Their Application to Facial Image Analysis: A Survey. – IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 41, 2011, No 6, pp. 765-781.
- Wang, S. J., W. J. Yan, X. Li, G. Zhao, C. G. Zhou, X. Fu, M. Yang, J. Tao. Micro-Expression Recognition Using Color Spaces. – IEEE Transactions on Image Processing, Vol. 24, 2015, No 12, pp. 6034-6047.
- Tian, Y. I., T. Kanade, J. F. Cohn. Recognizing Action Units for Facial Expression Analysis. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, 2001, No 2, pp. 97-115.
- Zhang, B., G. Liu, G. Xie. Facial Expression Recognition Using LBP and LPQ Based on Gabor Wavelet Transform. – In: 2nd IEEE International Conference on Computer and Communications (ICCC’16), IEEE, October 2016, pp. 365-369.
- Saurav, S., R. Saini, S. Singh. Facial Expression Recognition Using Dynamic Local Ternary Patterns with Kernel Extreme Learning Machine Classifier. – IEEE Access, Vol. 9, 2021, pp. 120844-120868.
- Pantic, M., L. J. M. Rothkrantz. Facial Action Recognition for Facial Expression Analysis from Static Face Images. – In: IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 34, June 2004, No 3, pp. 1449-1461. DOI: 10.1109/TSMCB.2004.825931.
- Abdulrahman, M., T. R. Gwadabe, F. J. Abdu, A. Eleyan. Gabor Wavelet Transform-Based Facial Expression Recognition Using PCA and LBP. – In: 22nd IEEE Signal Processing and Communications Applications Conference (SIU’14), April 2014, pp. 2265-2268.
- Wang, Z., Z. Ying. Facial Expression Recognition Based on Local Phase Quantization and Sparse Representation. – In: 8th IEEE International Conference on Natural Computation, May 2012, pp. 222-225.
- He, Y., S. Chen. Person-Independent Facial Expression Recognition Based on Improved Local Binary Pattern and Higher-Order Singular Value Decomposition. – IEEE Access, Vol. 8, 2020, pp. 190184-190193.
- Rivera, A. R., J. R. Castillo, O. O. Chae. Local Directional Number Pattern for Face Analysis: Face and Expression Recognition. – IEEE Transactions on Image Processing, Vol. 22, 2012, No 5, pp. 1740-1752.
- Wu, M., W. Su, L. Chen, Z. Liu, W. Cao, K. Hirota. Weight-Adapted Convolution Neural Network for Facial Expression Recognition in Human-Robot Interaction. – IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, 2019, No 3, pp. 1473-1484.
- Muhammad, G., M. Alsulaiman, S. U. Amin, A. Ghoneim, M. F. Alhamid. A Facial-Expression Monitoring System for Improved Healthcare in Smart Cities. – IEEE Access, Vol. 5, 2017, pp. 10871-10881.
- Yang, S., B. Bhanu. Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image. – IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 42, 2012, No 4, pp. 980-992.
- Belhumeur, P. N., D. W. Jacobs, D. J. Kriegman, N. Kumar. Localizing Parts of Faces Using a Consensus of Exemplars. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, 2013, No 12, pp. 2930-2940.
- Zhang, F., T. Zhang, Q. Mao, C. Xu. Geometry-Guided Pose-Invariant Facial Expression Recognition. – IEEE Transactions on Image Processing, Vol. 29, 2020, pp. 4445-4460.
- Wu, B. F., C. H. Lin. Adaptive Feature Mapping for Customizing a Deep Learning Based Facial Expression Recognition Model. – IEEE Access, Vol. 6, 2018, pp. 12451-12461.
- Chen, A., H. Xing, F. Wang. A Facial Expression Recognition Method Using Deep Convolutional Neural Networks Based on Edge Computing. – IEEE Access, Vol. 8, 2020, pp. 49741-49751.
- Happy, S. L., P. Patnaik, A. Routray, R. Guha. The Indian Spontaneous Expression Database for Emotion Recognition. – IEEE Transactions on Affective Computing, Vol. 8, 2015, No 1, pp. 131-142.
- Choi, D. Y., B. C. Song. Facial Micro-Expression Recognition Using Two-Dimensional Landmark Feature Maps. – IEEE Access, Vol. 8, 2020, pp. 121549-121563.
- Muhammad, G., M. Alsulaiman, S. U. Amin, A. Ghoneim, M. F. Alhamid. A Facial-Expression Monitoring System for Improved Healthcare in Smart Cities. – IEEE Access, Vol. 5, 2017, pp. 10871-10881.
- Huang, X., S. J. Wang, X. Liu, G. Zhao, X. Feng, M. Pietikäinen. Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition. – IEEE Transactions on Affective Computing, Vol. 10, 2017, No 1, pp. 32-47.
- Benedikt, L., D. Cosker, P. L. Rosin, D. Marshall. Assessing the Uniqueness and Permanence of Facial Actions for Use in Biometric Applications. – IEEE Transactions on Systems, Man, and Cybernetics. Part A: Systems and Humans, Vol. 40, 2010, No 3, pp. 449-460.
- Martinez, B., M. F. Valstar, B. Jiang, M. Pantic. Automatic Analysis of Facial Actions: A Survey. – IEEE Transactions on Affective Computing, Vol. 10, 2017, No 3, pp. 325-347.
- Dibeklioğlu, H., T. Gevers. Automatic Estimation of Taste Liking through Facial Expression Dynamics. – IEEE Transactions on Affective Computing, Vol. 11, 2018, No 1, pp. 151-163.
- Pham, T. T. D., S. Kim, Y. Lu, S. W. Jung, C. S. Won. Facial Action Units-Based Image Retrieval for Facial Expression Recognition. – IEEE Access, Vol. 7, 2019, pp. 5200-5207.
- Verma, A., L. V. Subramaniam, N. Rajput, C. Neti, T. A. Faruquie. Animating Expressive Faces across Languages. – IEEE Transactions on Multimedia, Vol. 6, 2004, No 6, pp. 791-800.
- Mao, Q., Q. Rao, Y. Yu, M. Dong. Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition. – IEEE Transactions on Multimedia, Vol. 19, 2016 No 4, pp. 861-873.
- Hsieh, C. K., S. H. Lai, Y. C. Chen. Expression-Invariant Face Recognition with Constrained Optical Flow Warping. – IEEE Transactions on Multimedia, Vol. 11, 2009, No 4, pp. 600-610.
- Zhou, N., R. Liang, W. Shi. A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection. – IEEE Access, Vol. 9, 2020, pp. 5573-5584.
- Wu, T., N. J. Butko, P. Ruvolo, J. Whitehill, M. S. Bartlett, J. R. Movellan. Multilayer Architectures for Facial Action Unit Recognition. – IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, Vol. 42, 2012, No 4, pp. 1027-1038.
- Guo, C., J. Liang, G. Zhan, Z. Liu, M. Pietikäinen, L. Liu. Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. – IEEE Access, Vol. 7, 2019, pp. 174517-174530.
- Allaert, B., I. M. Bilasco, C. Djeraba. Micro and Macro Facial Expression Recognition Using Advanced Local Motion Patterns. – IEEE Transactions on Affective Computing, 2019.
- Happy, S. L., A. Routray. Fuzzy Histogram of Optical Flow Orientations for Micro-Expression Recognition. – IEEE Transactions on Affective Computing, Vol. 10, 2017, No 3, pp. 394-406.
- Ojala, T., M. Pietikainen, T. Maenpaa. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, 2002, No 7, pp. 971-987. DOI:10.1109/TPAMI.2002.1017623.
- Pantic, M., L. L. M. Rothkrantz. Automatic Analysis of Facial Expressions: The State of the Art. – IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, December 2000, No 12, pp. 1424-1455.
- Fasel, B., J. Luettin. Automatic Facial Expression Analysis: A Survey. – Pattern Recognition, Vol. 36, 2003, pp. 259-275.
- Kanade, T., J. F. Cohn, Y. Tian. Comprehensive Database for Facial Expression Analysis. – In: Proc. of International Conference Automatic Face and Gesture Recognition, 2000, pp. 46-53.
- Feng, X., M. Pietikäinen, A. Hadid. Facial Expression Recognition with Local Binary Patterns and Linear Programming. – Pattern Recognition and Image Analysis, Vol. 15, 2005, No 2, pp. 546-548.
- Shan, C., S. Gong, P. W. Mc Owan. Robust Facial Expression Recognition Using Local Binary Patterns. – In: Proc. of IEEE International Conference Image Procession, 2005, pp. 370-373.
- Cohen, I., N. Sebe, A. Garg, L. S. Chen, T. S. Huang. Facial Expression Recognition from Video Sequences: Temporal and Static Modeling. – Computer Vision and Image Understanding, Vol. 91, 2003, pp. 160-187.
- Saisan, P., G. Doretto, Y. N. Wu, S. Soatto. Dynamic Texture Recognition. – In: Proc. of Conf. Computer Vision and Pattern Recognition, Vol. 2, 2001, pp. 58-63.
- Chetverikov, D., R. Péteri. A Brief Survey of Dynamic Texture Description and Recognition. – In: Proc. of International Conference Computer Recognition Systems, 2005, pp. 17-26.
- Li, S. Z., R. Chu, S. Liao, L. Zhang. Illumination Invariant Face Recognition Using Near-Infrared Images. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, 2007, No 4, pp. 627-639.
- Xu, Y., A. K. Roy-Chowdhury. Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, 2007, No 5, pp. 793-806.
- Zhang, T., Y. Y. Tang, B. Fang, Z. Shang, X. Liu. Face Recognition under Varying Illumination Using Gradientfaces. – IEEE Transactions on Image Processing, Vol. 18, 2009, No 11, pp. 2599-2606.
- Chen, T., W. Yin, X. Zhou, D. Comaniciu, T. S. Huang. Total Variation Models for Variable Lighting Face Recognition. – IEEE Trans. Pattern Anal. Mach. Intell., Vol. 28, September 2006, No 9, pp. 1519-1524.
- Prasad, G. V., S. V. Raju. A Survey on Local Textural Patterns for Facial Feature Extraction. – International Journal of Computer Vision and Image Processing (IJCVIP), Vol. 8, 2018, No 2, pp. 1-26.
- Maheswari, V. U., S. V. Raju, K. S. Reddy. Local Directional Weighted Threshold Patterns (LDWTP) for Facial Expression Recognition. – In: 5th IEEE International Conference on Image Information Processing (ICIIP’19), IEEE, November 2019, pp. 167-170.
- Maheswari, V. U., G. V. Prasad, S. V. Raju. Facial Expression Analysis Using Local Directional Stigma Mean Patterns and Convolutional Neural Networks. – International Journal of Knowledge-Based and Intelligent Engineering Systems, Vol. 25, 2021, No 1, pp. 119-128.
- Maheswari, V. U., G. Varaprasad, S. Viswanadharaju. Local Double-Directional Stride Maximum Patterns for Facial Expression Retrieval. – International Journal of Biometrics, Vol. 14, 2022, No 3-4, pp. 439-452.
- Mohsin, N. A., H. A. Alameen. A Hybrid Method for Payload Enhancement in Image Steganography Based on Edge Area Detection. – Cybernetics and Information Technologies, Vol. 21, 2021, No 3, pp. 97-107.
- Jawad, A. L., M. Dujaili, H. Jabar Sabat Ahily. A New Hybrid Model to Predict Human Age Estimation from Face Images Based on Supervised Machine Learning Algorithms. – Cybernetics and Information Technologies, Vol. 23, 2023, No 2, pp. 20-33.
- Rana, M. R. R., A. Nawaz, T. Ali, A. S. Alattas, D. S. AbdElminaam. Sentiment Analysis of Product Reviews Using Transformer Enhanced 1D-CNN and BiLSTM. – Cybernetics and Information Technologies, Vol. 24, 2024, No 3, pp. 112-131.
- Werdiningsih, I., I. Puspitasari, R. Hendradi. Recognizing Daily Activities of Children with Autism Spectrum Disorder Using a Convolutional Neural Network Based on Image Enhancement. – Cybernetics and Information Technologies, Vol. 25, 2025, No 1, pp. 78-96.