https://ahprojects.com/projects/hyperface/
> HyperFace is being developed for Hyphen Labs NeuroSpeculative AfroFeminism > project at Sundance Film Festival and is a collaboration with Hyphen Labs > members Ashley Baccus-Clark, Carmen Aguilar y Wedge, Ece Tankal, Nitzan > Bartov, and JB Rubinovitz. > > NeuroSpeculative AfroFeminism is a transmedia exploration of black women and > the roles they play in technology, society and culture—including speculative > products, immersive experiences and neurocognitive impact research. Using > fashion, cosmetics and the economy of beauty as entry points, the project > illuminates issues of privacy, transparency, identity and perception. > > HyperFace is a new kind of camouflage that aims to reduce the confidence > score of facial detection and recognition by providing false faces that > distract computer vision algorithms. HyperFace development began in 2013 and > was first presented at 33c3 in Hamburg, Germany on December 30th, 2016. > HyperFace will launch as a textile print at Sundance Film Festival on January > 16, 2017. > > Together HyperFace and NeuroSpeculative AfroFeminism will explore an > Afrocentric countersurveillance aesthetic. > How Does HyperFace Work? > > HyperFace works by providing maximally activated false faces based on ideal > algorithmic representations of a human face. These maximal activations are > targeted for specific algorithms. The prototype above is specific to OpenCV’s > default frontalface profile. Other patterns target convolutional nueral > networks and HoG/SVM detectors. The technical concept is an extension of > earlier work on CV Dazzle. The difference between the two projects is that > HyperFace aims to alter the surrounding area (ground) while CV Dazzle targets > the facial area (figure). In camouflage, the objective is often to minimize > the difference between figure and ground. HyperFace reduces the confidence > score of the true face (figure) by redirecting more attention to the nearby > false face regions (ground). > > Conceptually, HyperFace recognizes that completely concealing a face to > facial detection algorithms remains a technical and aesthetic challenge. > Instead of seeking computer vision anonymity through minimizing the > confidence score of a true face (i.e. CV Dazzle), HyperFace offers a higher > confidence score for a nearby false face by exploiting a common algorithmic > preference for the highest confidence facial region. In other words, if a > computer vision algorithm is expecting a face, give it what it wants. > How Well Does This Work? > > The patterns are still under development and are expected to change. Please > check back towards the end of January for more information. > Product Photos > > Please check back towards the end of January for product photos > Notifications > > If you’re interested in purchasing one of the first commercially available > HyperFace textiles, please add yourself to my mailing list at > Undisclosed.studio > Notes > > Displayed patterns are prototypes and are currently undergoing testing. > Designs will change. > Being designed for OpenCV, dlib, and Caffe > Will not make you invisible > Please credit image as HyperFace Prototype by Adam Harvey / ahprojects.com > Please credit scarf rendering prototype as Ece Tankal / hyphen-labs.com > Doesn’t defeat Big Brother > Not affilliated with IARPA Hyperface > > ©2004-2016 Adam R. Harvey. All Rights Reserved. -- ☣ glen ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove
