By John D. Sutter, CNN, via @Blonde_Phantom
(CNN) – If you take Adam Harvey’s advice, here’s what you might wanna wear to a party this weekend: A funny hat, asymmetrical glasses, a tuft of hair that dangles off your nose bridge and, most likely, a black-and-white triangle taped to your cheekbone. Optional: Cubic makeup patterns all around your eyes.
All of these otherworldly fashion accessories – which could leave a person looking kind of like an opulent villain from “The Hunger Games” – have a singular goal: to stop your face from being detected by cameras and computers. Called CV Dazzle (short for “computer vision dazzle;” more on the name later), Harvey’s project is a provocative and largely theoretical response to the rise of surveillance cameras on street corners and face-detecting technology that’s been incorporated into social networking sites like Facebook and Flickr.
If you employ these techniques, Harvey, 30, hopes computers won’t even know you have a face …
Engineering Privacy in Public: Confounding Face Recognition, James Alexander and Jonathan Smith (pdf) – The objective of DARPA’s Human ID at a Distance (HID) program “is to develop automated biometric identification technologies to detect, recognize and identify humans at great distances.” While nominally intended for security applications, if deployed widely, such technologies could become an enormous privacy threat, making practical the automatic surveillance of individuals on a grand scale. Face recognition, as the HID technology most rapidly approaching maturity, deserves immediate research attention in order to understand its strengths and limitations, with an objective of reliably foiling it when it is used inappropriately. This paper is a status report for a research program designed to achieve this objective within a larger goal of similarly defeating all HID technologies.