X

This website uses cookies.

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Cookie Policy.

I agree
Learn More
Great Geek Gifts in the Technabob Shop!Get Technabob Daily: Join our Mailing List! | Follow Us: Facebook | Twitter
Awesomer Media Sites: THE AWESOMER | MIGHTYMEGA | 95OCTANE
subscribe to our rss feedsubscribe via e-mailfollow technabob on twittertechnabob facebook fan pageGoogle+follow us in feedly
Follow Us:
Cool Gadgets, Gizmos, Games and Geek Stuff on Technabob

Extracting Faces from Eye Reflections in Photographs: Zoom in and Enhance

by Lambert Varias
Advertisement

From Blade Runner to CSI, popular fiction often stretches the capabilities of photography in the service of plot. But technology has a way of catching up. Last year, psychologists Rob Jenkins and Christie Kerr were able to extract identifiable faces that were merely reflected in the eyes of a photographed person.

Identifiable_Images_of_Bystanders_Extracted_from_Corneal_Reflections_Rob_Jenkins_Christie_Kerr_1zoom in

Does it sound too good to be true? Well, yes and no. See, Jenkins and Kerr used a 39MP Hasselblad H2D camera and ample lighting for their study. Their “bystanders” were also positioned optimally in front of the subject.

Identifiable_Images_of_Bystanders_Extracted_from_Corneal_Reflections_Rob_Jenkins_Christie_Kerr_3zoom in

On the other hand, the extracted reflected faces were only an incredibly small part of the high resolution portraits they took, yet they were still identifiable. Jenkins and Kerr’s highest resolution photo was 5,412 pixels wide by 7,216 pixels high, but the reflected faces they extracted were only around 27 to 36 pixels wide by 42 to 56 pixels high.

Identifiable_Images_of_Bystanders_Extracted_from_Corneal_Reflections_Rob_Jenkins_Christie_Kerr_2zoom in

These reflections were then blown up to about 400 pixels high and cleaned up in Adobe Photoshop before being shown to observers for identification.

The results? Observers who didn’t know the reflected persons rated 71% accurate in matching those reflections with clear photographs. The observers who knew the reflected person guessed with 84% accuracy. That’s 8 out of 10 times from a dot in someone’s eye.

Jenkins and Kerr were surprised at their results and came up with two conclusions. First, at the pace of camera technology this method could indeed be practical someday. Second, humans are awesome at identifying faces.

The two also think it could be possible to create a 3D model of the scene in front of the subject using the reflections from both of the subject’s eyes. Now that’s Batman territory. Head to PLOS ONE to read Jenkins and Kerr’s paper.

[via Metafilter]

Hot Deals in the Technabob Shop:



Comments are closed for posts older than 90 days.

More from Awesomer Media...

2017 Dodge Challenger GT AWD

2017 Dodge Challenger GT AWD

Deal: The Bluetooth Beanie

Deal: The Bluetooth Beanie

Mercedes-AMG GT4 Racer

Mercedes-AMG GT4 Racer

McLaren Extended Warranty Covers Cars up to 12 Years

McLaren Extended Warranty Covers Cars up to 12 Years

Stream The Music from Westworld

Stream The Music from Westworld

Nendoroid Empire Strikes Back Boba Fett Action Figure

Nendoroid Empire Strikes Back Boba Fett Action Figure

Advertisement