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

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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

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Computer vision dazzle makeup has been used by rioters 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 rioters to blend in within a crowd. Advances in facial recognition technology make dazzle makeup increasingly ineffective.[13]

See also

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References

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  1. ^ Valenti, Lauren (March 30, 2018). "Yes, There's a Way to Outsmart Facial Recognition Technology—And It Comes Down to Your Makeup". Vogue. Retrieved February 21, 2019.
  2. ^ Melanson, Donald (March 15, 2011). "Student thwarts face detection software with 'CV Dazzle' makeup". Engadget. Retrieved January 7, 2012.
  3. ^ "Computer Vision Dazzle Makeup". today and tomorrow. March 31, 2010. Archived from the original on January 25, 2012. Retrieved January 7, 2012.
  4. ^ Melanson, Donald (March 15, 2011). "Student thwarts face detection software with 'CV Dazzle' makeup". Engadget. Retrieved January 7, 2012.
  5. ^ "Computer Vision Dazzle Makeup". today and tomorrow. March 31, 2010. Archived from the original on January 25, 2012. Retrieved January 7, 2012.
  6. ^ Burns, Janet (21 April 2015). "The Anti-Surveillance State: Clothes and Gadgets Block Face Recognition Technology, Confuse Drones and Make You (Digitally) Invisible". AlterNet. Retrieved 3 November 2015.
  7. ^ 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. S2CID 1547688.
  8. ^ Harvey, Adam. "CV Dazzle: Camouflage from Computer Vision". Retrieved October 26, 2013.
  9. ^ Stone, Zara (August 22, 2013). "How to Steal Google Glasses Using Technology". Fusion. Archived from the original on October 27, 2013. Retrieved October 26, 2013.
  10. ^ Meltzer, Tom (March 31, 2013). "The anti-drone hoodie that helps you beat Big Brother's spy in the sky". The Guardian. Retrieved October 27, 2013.
  11. ^ Caplan, B. (August 20, 2013). "Optic Nerve Video Festival: Jillian Mayer Versus the Surveillance State". Retrieved October 26, 2013.
  12. ^ "CV Dazzle: Computer Vision Dazzle Camouflage". cvdazzle.com. Retrieved 2021-08-07.
  13. ^ Sharma, Jeena (16 June 2020). "Why Is Anti-Surveillance Makeup Trending?". Nylon. Retrieved 2021-08-07.