An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery

Author:

Poster Domenick,Hu Shuowen,Nasrabadi Nasser,Riggan Benjamin

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating Exercise-Induced Fatigue from Thermal Facial Images;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. TFLD: Thermal Face and Landmark Detection for Unconstrained Cross-spectral Face Recognition;2022 IEEE International Joint Conference on Biometrics (IJCB);2022-10-10

3. SF-TL54: A Thermal Facial Landmark Dataset with Visual Pairs;2022 IEEE/SICE International Symposium on System Integration (SII);2022-01-09

4. Towards a Robust Thermal-Visible Heterogeneous Face Recognition Approach Based on a Cycle Generative Adversarial Network;International Journal of Interactive Multimedia and Artificial Intelligence;2022

5. Inner Eye Canthus Localization for Human Body Temperature Screening;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

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