The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera
Abstract
We present a real-time liveness detection approach against photograph spoofing in face recognition, by recognizing spontaneous eyeblinks, which is a non-intrusive manner. The approach requires no extra hardware except for a generic webcamera. Eyeblink sequences often have a complex underlying structure. We formulate blink detection as inference in an undirected conditional graphical framework, and are able to learn a compact and efficient observation and transition potentials from data. For purpose of quick and accurate recognition of the blink behavior, eye closity, an easily-computed discriminative measure derived from the adaptive boosting algorithm, is developed, and then smoothly embedded into the conditional model. An extensive set of experiments are presented to show effectiveness of our approach and how it outperforms the cascaded Adaboost and HMM in task of eyeblink detection.
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Cited by
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
Li, Y., Chang, M.-C., & Lyu, S. (2018) · 2018 IEEE International Workshop on Information Forensics and Security (WIFS) · doi:10.1109/wifs.2018.8630787 · Cited by 1,089
Face anti-spoofing using patch and depth-based CNNs
Atoum, Y., Liu, Y., Jourabloo, A., & Liu, X. (2017) · 2017 IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/btas.2017.8272713 · Cited by 429
A Survey on State-of-the-Art Drowsiness Detection Techniques
Ramzan, M., Khan, H. U., Awan, S. M., Ismail, A., Ilyas, M., & Mahmood, A. (2019) · IEEE Access · doi:10.1109/access.2019.2914373 · Cited by 361
Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey
Ramachandra, R., & Busch, C. (2018) · ACM Computing Surveys · doi:10.1145/3038924 · Cited by 332
Surveying the Development of Biometric User Authentication on Mobile Phones
Meng, W., Wong, D. S., Furnell, S., & Zhou, J. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386915 · Cited by 300
Metadata
- Authors
- Pan, G., Sun, L., Wu, Z., & Lao, S.
- Venue
- 2007 IEEE 11th International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2007
- Pages
- 1-8
- OpenAlex
- W2151343288
- Cited by
- 658
- References
- 23
- FWCI
- 6.60
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Pan, G., Sun, L., Wu, Z., & Lao, S. (2007). Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera. 2007 IEEE 11th International Conference on Computer Vision. https://doi.org/10.1109/iccv.2007.4409068
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
