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CV Dazzle: Camouflage From Computer Vision by Adam Harvey

CV Dazzle: Camouflage From Computer Vision by Adam Harvey
Face Once computer vision programs detect a face, they can extract data about your emotions, age, and identity. See how a face is detected Anti Face This face is unrecognizable to several state-of-art face detection algorithms. Look Book

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Adam Harvey Explains Viola-Jones Face Detection Adam Harvey is an artist, designer, and programmer in New York. His work explores the intersection of privacy, computer vision, and fashion. His ongoing project, CV Dazzle, is an attempt to create hair styles, makeup, and clothing that thwart face recognition software. DNA Spoofing Art Hack Day 2013 Project to undermine DNA profiling. Project Summary Anticipating the future of DIY DNA Counter-Surveillance In this project, we anticipate the possibility of genetic surveillance in the post-apocalyptic present. As humans, we are constantly shedding genetic material in public space. It is becoming increasingly common to use those traces for surveillance and reconstruction.

VentureBeat: How to fool facial recognition technology? The day when you’ll be able to hold up your phone and identify a stranger through a viewfinder is getting closer. Google’s Goggles, a mobile app for visual search, has a facial recognition version unreleased to the public, while Israeli startup’s technology can tag people’s faces in Facebook photos. Facebook even released a basic version of face detection last night, although it doesn’t have recognition. So in a world where technology chips away at our ability to remain anonymous, how does one reclaim some semblance of control? It turns out there’s actually a pretty simple way around the facial recognition technology available in the market today, according to Adam Harvey, a graduate student at NYU’s ITP (the same program that produced Foursquare chief executive Dennis Crowley and that Twitter’s location guru Raffi Krikorian taught at).

ArtBase The ArtBase is Rhizome's archive of digital art, freely accessible to the public online. The Rhizome ArtBase was founded in 1999 to preserve works of net art that were deemed to be "of potential historical significance." Encompassing a vast range of projects from artists all over the world, the ArtBase provides a home for works that employ materials such as software, code, websites, moving images, games, and browsers. Until 2008, the ArtBase accepted open submissions for consideration, but currently works are added to the collection by curatorial invitation and through Rhizome's commissioning and exhibition programs. Modern computers are unable to perform many of the artworks as they were originally experienced. This inability demonstrates a significant crisis in digital social memory that Rhizome is responding to with its Digital Preservation program, led by Dragan Espenschied.

Free Keylogger From the childhood we have been taught that spying is bad. But is it so? If we are talking about information security of your company or your family you will agree that the end justifies the means. Facial Age Estimation Facial Age Estimation Age estimation is the determination of a person’s age based on biometric features. Although age estimation can be accomplished using different biometric traits, this article is focused on facial age estimation that relies on biometric features extracted from a person’s face. The main issues presented in the article involve typical applications where facial age estimation can be used, problem and challenges associated with facial age estimation, typical approaches reported in the literature and future research directions. Problem Definition The appearance of a human face is affected considerably by aging (see Figure 1).

Riots: Police monitor beaten in back of police van Independent police monitor punched and kicked to the head and legs in back of police van, while monitoring policing of disturbances. The Network for Police Monitoring will make a complaint to the Metropolitan police after one of its volunteers was arrested and beaten by police while monitoring the policing of disturbances in Enfield on the night of Sunday 7th August. Along with two others, Taherali Gulamhussein was stopped and searched by police under section 60 powers, which gives them the right to search for weapons. The police found no weapon, nor any other item that gave them cause for concern. Despite this he was arrested and subsequently beaten in the back of a police van. Taherali has described how, in the course of the search, he was kicked and punched in the chest and thigh, and that his head was smashed against a wall.

Blink! - Log in to Your PC by Simply Looking at It! Logging into Windows has never been easier! Simply look into your webcam and you’ll be logged into your account in the blink of an eye. Blink! employs advanced face recognition technologies to provide automatic, quick and reliable login for one, or multiple, computer users. Reliable Login under Varying Conditions With Blink!

CV Dazzle: Open-Source Camouflage From Computer Vision by Adam Harvey by sirchamallow Nov 4

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