Privacy Visor: Method Based on Light Absorbing and Reflecting Properties for Preventing Face Image Detection
By Takayuki Yamada, Seiichi Gohshi, Isao Echizen. 2013
24 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
- Michael K. Reiter
- Mahmood Sharif
- Sruti Bhagavatula
- Lujo Bauer
- Aleksander Madry
- Florian Tramèr
- Dimitris Tsipras
- Giancarlo Pellegrino
In Information Systems
In Signal Processing
- Michael K. Reiter
- Mahmood Sharif
- Sruti Bhagavatula
- Lujo Bauer
- Aleksander Madry
- Florian Tramèr
- Dimitris Tsipras
- Giancarlo Pellegrino
Citations in the corpus
- Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition (2016, background): “leveraged the fact that camera sensors are sensitive to near infra-red light to design light-emitting glasses that can help evade face detection by adding significant noise to the captured image [44].”
- Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition (2018, background): “Another line of work attempts to achieve privacy from face-recognition systems by completely avoiding face detection [23], [65].”