Computer vision dazzle
Computer vision dazzle also known as CV dazzle, dazzle makeup, or anti-surveillance makeup, is a type of camouflage used to hamper facial recognition software, inspired by dazzle camouflage used by vehicles such as ships and planes.[1]
Methods
CV dazzle combines stylized makeup, asymmetric hair, and sometimes infrared lights built in to glasses or clothing to break up detectable facial patterns recognized by computer vision algorithms in much the same way that warships contrasted color and used sloping lines and curves to distort the structure of a vessel.[2][3]
It has been shown to be somewhat successful at defeating face detection software in common use, including that employed by Facebook.[4][5] CV dazzle attempts to block detection by facial recognition technologies such as DeepFace "by creating an 'anti-face'".[6] It uses occlusion, covering certain facial features; transformation, altering the shape or colour of parts of the face; and a combination of the two.[7] Prominent artists employing this technique include Adam Harvey[8][9][10] and Jillian Mayer.[11]
Use in protests
Computer vision dazzle makeup has been used by protesters in several different protest movements. [12] Its use as a protesting aid has often been found ineffective. It may be effective to thwart computer technology but; draws human attention, is easy for human monitors to spot on security cameras, and makes it hard for protesters to blend in within a crowd. Advances in facial recognition technology make dazzle makeup increasingly ineffective. [13]
See also
References
- ↑ Valenti, Lauren (March 30, 2018). "Yes, There's a Way to Outsmart Facial Recognition Technology—And It Comes Down to Your Makeup". https://www.vogue.com/article/computer-vision-dazzle-anti-surveillance-facial-recognition-technology-moma-ps1.
- ↑ Melanson, Donald (March 15, 2011). "Student thwarts face detection software with 'CV Dazzle' makeup". Engadget. http://www.engadget.com/2011/03/15/student-thwarts-face-detection-software-with-cv-dazzle-makeup/.
- ↑ "Computer Vision Dazzle Makeup". today and tomorrow. March 31, 2010. http://www.todayandtomorrow.net/2010/03/31/computer-vision-dazzle-makeup/.
- ↑ Melanson, Donald (March 15, 2011). "Student thwarts face detection software with 'CV Dazzle' makeup". Engadget. http://www.engadget.com/2011/03/15/student-thwarts-face-detection-software-with-cv-dazzle-makeup/.
- ↑ "Computer Vision Dazzle Makeup". today and tomorrow. March 31, 2010. http://www.todayandtomorrow.net/2010/03/31/computer-vision-dazzle-makeup/.
- ↑ Burns, Janet (21 April 2015). "The Anti-Surveillance State: Clothes and Gadgets Block Face Recognition Technology, Confuse Drones and Make You (Digitally) Invisible". http://www.alternet.org/news-amp-politics/anti-surveillance-state-clothes-and-gadgets-block-face-recognition-technology.
- ↑ Feng, Ranran; Prabhakaran, Balakrishnan (2013). "Facilitating fashion camouflage art". Proceedings of the 21st ACM international conference on Multimedia. MM '13. ACM. pp. 793–802. doi:10.1145/2502081.2502121. ISBN 978-1-4503-2404-5.
- ↑ Harvey, Adam. "CV Dazzle: Camouflage from Computer Vision". http://cvdazzle.com/.
- ↑ Stone, Zara (August 22, 2013). "How to Steal Google Glasses Using Technology". Fusion. http://fusion.net/modern_life/story/face-detection-tech-workarounds-steal-google-glasses-18980.
- ↑ Meltzer, Tom (March 31, 2013). "The anti-drone hoodie that helps you beat Big Brother's spy in the sky". The Guardian. http://www.theguardian.com/artanddesign/2013/mar/31/anti-drone-hoodie-big-brother.
- ↑ Caplan, B. (August 20, 2013). "Optic Nerve Video Festival: Jillian Mayer Versus the Surveillance State". http://blogs.miaminewtimes.com/cultist/2013/08/optic_nerve_video_festival_jil.php.
- ↑ "CV Dazzle: Computer Vision Dazzle Camouflage". https://cvdazzle.com/.
- ↑ Sharma, Jeena (16 June 2020). "Why Is Anti-Surveillance Makeup Trending?" (in en). https://www.nylon.com/beauty/on-anti-surveillance-makeup-and-just-how-effective-it-really-is.
Original source: https://en.wikipedia.org/wiki/Computer vision dazzle.
Read more |