Face Recognition on Consumer Devices: Reflections on Replay Attacks
By Daniel F. Smith, Arnold Wiliem, Brian C. Lovell. 2015
135 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Vishal M. Patel
- Xiaoming Liu
- Ramalingam Chellappa
- Jukka Komulainen
- Abdenour Hadid
- Zinelabinde Boulkenafet
- Amin Jourabloo
- Xiaogang Wang
In Information Systems
- Vishal M. Patel
- Ramalingam Chellappa
- Abdenour Hadid
- Deepak Chandra
- Zinelabinde Boulkenafet
- Brandon Barbello
- Jukka Komulainen
- Ramachandra Raghavendra
In Signal Processing
- Vishal M. Patel
- Ramalingam Chellappa
- Jukka Komulainen
- Zinelabinde Boulkenafet
- Xiaoming Liu
- Abdenour Hadid
- Deepak Chandra
- Brandon Barbello
Citations in the corpus
- Continuous User Authentication on Mobile Devices: Recent progress and remaining challenges (2016, background): “4) Some of the physiological as well as behavioral biometrics-based continuous authentication methods are vulnerable to spoof, mimic, statistic or digital replay attacks [76], [77].”
- Face Spoofing Detection Using Colour Texture Analysis (2016, background): “For instance, Smith et al. [21] proposed to analyse dynamic reflections from the observed person's face caused by varying illumination due to a sequence of images (digital watermarks) presented on the used display device, e.g. a tablet or a laptop, for validating that the biometric data was captured”