Two-Stage Face Detection and Anti-spoofing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47969-4_35
Reference22 articles.
1. Al-Refai, R., Nandakumar, K.: A unified model for face matching and presentation attack detection using an ensemble of vision transformer features. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 662–671 (2023)
2. Anjos, A., Marcel, S.: Counter-measures to photo attacks in face recognition: a public database and a baseline. In: IEEE International Joint Conference on Biometrics (IJCB), pp. 1–7 (2011)
3. Atoum, Y., Liu, Y., Jourabloo, A., Liu, X.: Face anti-spoofing using patch and depth-based CNNs. In: IEEE International Joint Conference on Biometrics (IJCB), pp. 319–328 (2017)
4. Benlamoudi, A., et al.: Face presentation attack detection using deep background subtraction. Sensors 22(10), 3760 (2022)
5. Boulkenafet, Z., Komulainen, J., Hadid, A.: Face anti-spoofing based on color texture analysis. In: IEEE International Conference on Image Processing (ICIP), pp. 2636–2640 (2015)
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