Camouflage is the use of any combination of materials, coloration, or illumination for concealment, either by making animals or objects hard to see (crypsis), or by disguising them as something else (mimesis).

"From all appearances, deception has always been critical to daily survival—for human and non-human creatures alike—and, judging by its current ubiquity, there is no end in immediate sight..."
Roy Behrens, Camoupedia

Camouflage from face detection.
CV Dazzle explores how fashion can be used as camouflage from face-detection technology, the first step in automated face recognition.

The name is derived from a type of World War I naval camouflage called Dazzle, which used cubist-inspired designs to break apart the visual continuity of a battleship and conceal its orientation and size. Likewise, CV Dazzle uses avant-garde hairstyling and makeup designs to break apart the continuity of a face. Since facial-recognition algorithms rely on the identification and spatial relationship of key facial features, like symmetry and tonal contours, one can block detection by creating an “anti-face”.
Military camouflage patterns influenced fashion and art from the time of the First World War onwards. Gertrude Stein recalled the cubist artist Pablo Picasso's reaction in around 1915:
In 1919, the attendants of a "dazzle ball", hosted by the Chelsea Arts Club, wore dazzle-patterned black and white clothing. The ball influenced fashion and art via postcards and magazine articles.

NOWDAYS
OpenCV Face Detection
OpenCV is one of the most widely used face detectors. This algorithm performs best for frontal face imagery and excels at computational speed. It's ideal for real-time face detection and is used widely in mobile phone apps, web apps, robotics, and for scientific research.

OpenCV is based on the the Viola-Jones algorithm. This video shows the process used by the Viola Jones algorithm, a cascading set of features that scans across an image at increasing sizes. By understanding how the algorithm detects a face, the process of designing an "anti-face" becomes more intuitive.

Click image for video: vimeo.com/12774628

Style Tips for Reclaiming Privacy:
Makeup
Avoid enhancers: They amplify key facial features. This makes your face easier to detect. Instead apply makeup that contrasts with your skin tone in unusual tones and directions: light colors on dark skin, dark colors on light skin.
Nose Bridge
Partially obscure the nose-bridge area: The region where the nose, eyes, and forehead intersect is a key facial feature. This is especially effective against OpenCV's face detection algorithm.
Eyes
Partially obscure one of the ocular regions: The position and darkness of eyes is a key facial feature.
Masks
Avoid wearing masks as they are illegal in some cities. Instead of concealing your face, modify the contrast, tonal gradients, and spatial relationship of dark and light areas using hair, makeup, and/or unique fashion accessories.
Head
Research from Ranran Feng and Balakrishnan Prabhakaran at University of Texas, shows that obscuring the elliptical shape of a head can also improve your ability to block face detection.
Asymmetry
Facial-recognition algorithms expect symmetry between the left and right sides of the face. By developing an asymmetrical look, you may decrease your probability of being detected.