Collaboration with DIS Magazine
Images with no green squares indicates that no faces were detected with OpenCV.
Comparison: Images with green squares indicates that faces were detected with OpenCV. Photos from Body Decoration: A World Survey of Art
OpenCV Face Detection: Visualized
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.
And 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 FaceBook, Google's Picasa, or Flickr.
CV Dazzle™ was developed by Adam Harvey as a thesis project at New York University's Interactive Telecommunication Program in the spring of 2010 to explore ways of protecting and interfering with privacy compromising technologies.
Quelle :
http://cvdazzle.com/
