CV Dazzle was developed as my masters thesis at the Interactive Telecommunications Program at NYU. The goal of this ongoing research project is to create a growing catalog of designs and techniques that can be employed as camouflage against face detection.
CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition.
CV Dazzle is form of expressive interference that takes the form of makeup and hair styling (or other modifications). The name is derived from CV, a common abbreviation for computer vision, and Dazzle a type of camouflage used during WWI. Dazzle camouflage was originally used to break apart the gestalt image of warships, confusing observers about their directionality, size, and orientation. Likewise, the goal of CV Dazzle is to break apart the gestalt of a face, or object, and make it undetectable to computer vision algorithms, in particular face detection.
Because face detection is the first step in any automated facial recognition system, CV Dazzle can be used in any environment where such systems are in use, including social network platforms like Facebook. For an example of CV Dazzle working against Facebook’s Face.com see CV Dazzle vs PhotoTagger by Face.com on Vimeo.
The CV Dazzle project is an ongoing collaboration between hair stylists, makeup artists, and fashion designers. The first look, above, was developed with hair stylist Pia Vivas. DIS Magazine created another collaboration called How to Hide From Machines. Jillian Mayer has published this helpful tutorial: MakeUp Tutorial HOW TO HIDE FROM CAMERAS. And there is another related project called Anti-Recognition. Artist Bronwyn Lewis in Seattle has also been offering workshops on hiding from facial recognition.
The first collaboration took place in the summer of 2010 with DIS Magazine in NYC
Some collaborative efforts have been carried out by other artists including Bronwyn Lewis' Facial Recognition Defence Workshop