Special Issue on Face Presentation Attack Detection
نویسندگان
چکیده
Face presentation attack detection, also termed Anti-Spoofing (FAS) [item 1), 2) in the Appendix), is a hot and challenging research topic that has received much attention from computer vision pattern recognition communities past. Owing to development of deep learning big data, recent advances this related fields increased considerably. However, there are still several tasks deserve community, for instance robust techniques unknown spoofing attacks, cross-domain generalization, multi-modal fusion images video sequences. We edited special issue with goal compiling latest progress field identifying promising opportunities on FAS.
منابع مشابه
Practical View on Face Presentation Attack Detection
Face recognition is one of the most socially accepted forms of biometric recognition. The recent availability of very accurate and efficient face recognition algorithms leaves the vulnerability to presentation attacks as the major challenge to face recognition solutions. Previous works have shown high preforming presentation attack detection PAD solutions under controlled evaluation scenarios. ...
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ژورنال
عنوان ژورنال: IEEE transactions on biometrics, behavior, and identity science
سال: 2021
ISSN: ['2637-6407']
DOI: https://doi.org/10.1109/tbiom.2021.3089903