Face to Anti-Face

Adam Harvey

Adam Harvey is a Brooklyn-based artist whose work addresses the impact of surveillance technologies.

Next year the Janus program, an initiative run by the director of national intelligence, will begin to collect photographs of people's faces from social media websites and public video feeds. Machines will then use powerful algorithms to pair those photos with existing biometric profiles.

The Janus program isn't alone: Facial-recognition technology is quickly becoming a mainstay of commercial and government surveillance systems. While it can provide benefits in automation and security, it is also a threat to privacy. Sophisticated algorithms can already extract information about your gender, age and even mood from a single image, and then link those physical attributes to commercial or government databases.

This powerful surveillance technology is cheap, ubiquitous and unregulated.

My project, 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."

Camouflaged Fashion

This design combines unconventional hairstyling and makeup to create an anti-face, an attempt to block facial recognition software.

CREATE 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.

USE TONAL INVERSE

Some algorithms will analyze gradations in skin tone and texture. This process helps locate the facial region, but it relies on assumptions about what typical facial features look like. To confuse this process, use hair or makeup that contrasts with your skin tone and apply makeup in unusual tones and directions: light colors on dark skin, dark colors on light skin.

CONCEAL THE NOSE BRIDGE

Some algorithms rely on the nose bridge area as a key facial marker. Use hairstyling or fashion accessories to conceal the area above the nose and between the eyes.

Create a New Look…

Using the tips above, create your own camouflaged look. To get you started, below are two additional looks that thwart detection software through the use of asymmetry, tonal inverse and nose bridge concealment.

ADDITIONAL TIPS

Avoid masks as they are illegal in some areas. Avoid relying on sunglasses or facial hair, as they are common features that are incorporated into most algorithms.

For more photos, test results and style advice, visit cvdazzle.com.

And Share It

Once you have created your own look, submit a photo of yourself.

The looks will be tested using facial detection software and may be posted to nytimes.com/anti-face.

Produced by John Niedermeyer and James Thomas
Photo By Adam Harvey, Modeling By Bre Lembitz, Hair By Pia Vivas, Makeup By Giana DeYoung

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