CV Dazzle™ is camouflage from computer vision (CV). It is a form of expressive interference that combines makeup and hair styling (or other modifications) with face-detection thwarting designs. The name is derived from a type of camouflage used during WWI, called Dazzle, which was used to break apart the gestalt-image of warships, making it hard to discern 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 automated facial recognition, CV Dazzle can be used in any environment where automated face recognition systems are in use, such as Google’s Picasa, Flickr, or Facebook (see CV Dazzle vs PhotoTagger by Face.com).
Project Overview
This project began as a thesis proposal at the Interactive Telecommunications Program at New York University in the spring of 2010 with the primary objective of thwarting face detection under the guise of high-fashion aesthetics. While there are several obvious approaches to hiding from face detection, some of these can be dismissed. Sunglasses, for example, are a known occlusion which some algorithms account for. And, though functionally effective, wearing masks in public can be illegal. Hoods are popular and effective but make the wearer’s intent to hide too obvious. As an alternative, this project explores ways of hiding in plain sight using ambigously deceptive fashion.