Nghiên cứu tiếp cận học sâu ứng dụng trong quản lý lớp học hiệu quả ở Trường Đại học Đông Á
Tóm tắt
Từ khóa
#học sâu #nhận diện khuôn mặt #phát hiện đối tượng #thị giác máy tính #tự động nhận diệnTài liệu tham khảo
Connie, T., Al-Shabi, M., Cheah, W. P., & Goh, M. (2017). Facial expression recognition using a hybrid CNN-SIFT aggregator. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10607 LNAI. Doi: 10.1007/978-3-319-69456-6_12.
Cuong Nguyen, H. H., Trong Nguyen, T., & Hai Trinh, T. (2019). Consistency Maintenance in Distributed Cloud Storage Systems. Azerbaijan Journal of High-Performance Computing, 2(2), 158-169. Doi: 10.32010/26166127.2019.2.2.158.169.
Cuong, N. H. H., Van Thang, D., Tung, N. T., Tan, M. N., & Dien, N. T. T. (2023). SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires. Smart Innovation, Systems and Technologies, 326 SIST. Doi: 10.1007/978-981-19-7513-4_1.
Ghofrani, A., Toroghi, R. M., & Ghanbari, S. (2019). Realtime Face-Detection and Emotion Recognition Using MTCNN and miniShuffleNet V2. 2019 IEEE 5th Conference on Knowledge Based Engineering and Innovation, KBEI 2019. Doi: 10.1109/KBEI.2019.8734924.
Guo, G., Li, S. Z., & Chan, K. (2000). Face recognition by support vector machines. Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000. Doi: 10.1109/AFGR.2000.840634.
Liao, K., Liu, G., & Hui, Y. (2013). An improvement to the SIFT descriptor for image representation and matching. Pattern Recognition Letters, 34(11). Doi: 10.1016/j.patrec.2013.03.021.
Li, B., & Lima, D. (2021). Facial expression recognition via ResNet-50. International Journal of Cognitive Computing in Engineering, 2, 57-64. doi: 10.1016/j.ijcce.2021.02.002.
Liu, H., Luo, S., Lu, J., & Dong, J. (2019). Method for Fused Phase and PCA Direction Based on a SIFT Framework for Multi-Modal Image Matching. IEEE Access, 7. Doi: 10.1109/ACCESS.2019.2953539.
Liu, Z., Zhu, W., Zhang, H., Wang, S., Fang, L., Hong, W., Shao, H., & Wang, G. (2020). Reliability evaluation of dynamic face recognition systems based on improved Fuzzy Dynamic Bayesian Network. International Journal of Distributed Sensor Networks, 16(3). Doi: 10.1177/1550147720911558.
Nguyen Trong, T., Cuong, N. H. V., Pham, T. V., Cuong, N. H. H., & Khiet, B. T. (2023). An Approach to New Technical Solutions in Resource Allocation Based on Artificial Intelligence. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 471 LNICST. Doi: 10.1007/978-3-031-35081-8_27.
Rublee, E., Rabaud, V., Konolige, K., & Bradski, G. (2011). ORB: An efficient alternative to SIFT or SURF. Proceedings of the IEEE International Conference on Computer Vision. Doi: 10.1109/ICCV.2011.6126544.
Sima, A. A., & Buckley, S. J. (2013). Optimizing SIFT for matching of short-wave infrared and visible wavelength images. Remote Sensing, 5(5). Doi: 10.3390/rs5052037.
Suganthi, S. T., Ayoobkhan, M. U. A., Kumar, V. K., Bacanin, N., Venkatachalam, K., Stepán, H., & Pavel, T. (2022). Deep learning model for deep fake face recognition and detection. PeerJ Computer Science, 8. Doi: 10.7717/PEERJ-CS.881
Tan, C., Wang, H., & Pei, D. (2010). SWF-SIFT approach for infrared face recognition. Tsinghua Science and Technology, 15(3). Doi: 10.1016/S1007-0214(10)70074-2
Wu, J., Cui, Z., Sheng, V. S., Zhao, P., Su, D., & Gong, S. (2013). A comparative study of SIFT and its variants. Measurement Science Review, 13(3). Doi: 10.2478/msr-2013-0021
Yang, J., Huang, J., Jiang, Z., Dong, S., Tang, L., Liu, Y., Liu, Z., & Zhou, L. (2020). SIFT-aided path-independent digital image correlation accelerated by parallel computing. Optics and Lasers in Engineering, 127. Doi: 10.1016/j.optlaseng.2019.105964
Zhang, G., Zeng, Z., Zhang, S., Zhang, Y., & Wu, W. (2017). SIFT Matching with CNN Evidences for Particular Object Retrieval. Neurocomputing 238. doi: 10.1016/j.neucom.2017.01.081
Zhao, W., Chellappa, R., & Krishnaswamy, A. (1998). Discriminant analysis of principal components for face recognition. Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. Doi: 10.1109/AFGR.1998.670971
Zhu, Y., Cheng, S., Stanković, V., & Stanković, L. (2013). Image registration using BP-SIFT. Journal of Visual Communication and Image Representation, 24(4). Doi: 10.1016/j.jvcir.2013.02.005.