Posts Tagged ‘facialrecognition’

Yahoo! Snaps Up Startup IQ Engines, Will Improve Flickr Organization and Search

pacmanyahoo

Yahoo! certainly doesn’t shy away from acquiring companies it believes will help its cause. In some cases those acquisitions turn into long-term investments ala Flickr, in others the acquired company just sort of disappears.

The latest acquisition news out of the Yahoo! camp is that image-recognition startup IQ Engines is joining the Flickr team in order to help improve the organization and search features of the photo sharing site. Read more…

These Privacy Glasses Use Infrared Light to Hide Your Face from Cameras

Glasses LED 1

In this day and age, you’re likely to have a hard time walking down the street and not seeing a camera somewhere. If it isn’t held by the shutter-happy tourist in short shorts, it’s the CCTV camera mounted at the entrance of the local subway station.

How does one maintain anonymity? Staying in? No! You put on fabulous privacy-protecting glasses under development by Japan’s National Institute of Informatics.
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YouTube Offers Face Blurring Technology

YouTube just announced a useful new feature: an easy face blur option. The announcement says the feature is aimed for news and human rights agencies to protect privacy and identities especially if posting images of activists who may need to remain anonymous or if minors are present in the videos and privacy is a concern.
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Facial Recognition Software Guesses Age Based on a Photo

Facial recognition service Face.com has announced a new feature in its API: age detection. After analyzing a photograph of a person’s face, the software returns three values: minimum age, maximum age, and estimated age, along with the confidence level of the guesses. Applications for the new technology include enhanced parental controls and targeted advertising. If you want to test out the service yourself, you can play around with the API here (in the photo above, the correct age is ~47).

Face.com API Sandbox (via Face via Gizmodo via PopPhoto)

Apple Patent Reveals Camera Self Timer Triggered by Photographer’s Face

We’ve all seen photographers make mad dashes into group portraits, hoping to get into position before the camera’s self timer automatically snaps a photograph. Apple wants to make those a thing of the past. A new patent filed by the company (#20120057039) describes a new and smarter self-timer system that uses facial recognition in addition to the standard timer. Using a picture of the photographer’s face, the camera will wait until the shooter is in the scene before starting the countdown, ensuring that everyone in the photo has the same amount of time to put on a picture perfect smile.

(via Patently Apple via Ubergizmo)

Canon Face Recognition Feature Gives Friends Preferential Treatment

Canon’s latest compact cameras at CES this year have some fancy new facial recognition features that assist in portrait shots. Up to 12 people can be stored in the camera. Simply snap a photo of your friends face, provide the friend’s name (and birthday if you wish), and the camera will recognize your friend from that point forward. In group shots, the camera will give your friends’ faces preferential treatment, making sure that they’re properly in focus and exposed.
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MIOPS: Smartphone Controllable High Speed Camera Trigger

MIOPS is a new smartphone-controlled camera trigger that combines all of the features photographers want in a high-speed camera trigger into one convenient device.

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Apesnake: A Photobooth Triggered by Facial Expressions

The Apesnake Photobooth is a novel photobooth triggered by facial expressions. Created by Che-Wei Wang & David Penuela, it detects the eyes and mouth of the subject and triggers the shutter on a Canon 1000D when they’re found to match a desired expression (they chose the Manwolf face). The booth also automatically uploads photographs to a dedicated Facebook page.
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Facial Recognition with the iPhone May Lead to Pretty Creepy Apps

Last year, Apple purchased Swedish facial recognition firm Polar Rose for $22 million, and yesterday’s iPhone 4S announcement revealed that the technology is now baked into iOS and is touted as one of big new camera features. The iPhone is now a compact camera and mobile computer that can detect — and possibly recognize — faces.
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Facial Recognition May Get Really Creepy Really Soon

Facial recognition features are appearing in everything from cameras to photo-sharing sites, but have you thought about the different security and privacy concerns it introduces? Fast Company has published a piece on how mobile apps in the future may be able to quickly look up your identity, your personal information, and perhaps even your social security number!

[CMU researchers] used three relatively simple technologies to create their face recognition system: An off-the-shelf face recognizer, cloud computing processing, and personal data available through the public feed at social networking sites such as Facebook [...] Combining the data gathered from the face recognizer hardware with clever search algorithms that were processed on a cloud-computing platform, the team has performed three powerful experiments: They were able to “unmask” people on a popular dating site where it’s common to protect real identities using pseudonyms, and they ID’d students walking in public on campus by grabbing their profile photos from Facebook.

Most impressively the research algorithm tried to predict personal interests and even to deduce the social security number of CMU students based solely on an image of their face–by interrogating deeper into information that’s freely available online.

You might want to invest in a pair of censorship sunglasses after all!

Your Face Is Your Key [Fast Company]


Image credit: Face Detection Example (Bogdan and Anne) by mr. ‘sto

US Gov Working on Geotagging Photos Using Only the Background

Facial recognition technology has become ubiquitous in recent years, being found in everything from the latest compact camera to websites like Facebook. The same may soon be said about location recognition. Through a new project called “Finder“, the US government military research division IARPA is looking into how to quickly and automatically identify where a photograph was taken without any geotag data. The goal is to use only the identifying features found in the background of scenes to determine the location — kinda like facial recognition except for landscapes.

(via Wired via PopPhoto)


Image credit: 090920-A-2794B-004 by isafmedia