Deep Neural Networks Create Realistic 3D Models From Blurred Photos – Edgy Labs

A new inference technique based on deep learning neural networks leverages differences in light and shadow to create highly-detailed 3D renderings from 2D photos. In addition to making facial mapping less demanding and costly, this technology has immediate applications in VR, AR and even law enforcement.  Central to the JFK Assassination was the infamous Backyard Photo of Lee Harvey Oswald holding a Marxist newspaper and the same rifle model purportedly used to shoot the president.

Oswald himself protested that the photo was a fake concocted to frame him. However, science recently debunked this theory using 3D imaging.

Now, using a data-driven inference method based on deep learning neural networks, science can go a step further and actually create 3D renderings of faces from a single (and even blurry) 2D image.

Read more: Deep Neural Networks Create Realistic 3D Models From Blurred Photos – Edgy Labs

Don’t forget to share this via , , Google+, Pinterest, LinkedIn, Buffer, , Tumblr, Reddit, StumbleUpon and Delicious.

Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future.

He lives in London with a single android – a temperamental vacuum cleaner – but is looking forward to getting more cyborgs soon.

Leave a Reply

Your email address will not be published. Required fields are marked *

Deep Neural Networks Create Realistic 3D Models From Blurred Photos &#…

by Mike Rawson time to read: 1 min
Hi there - can I help you with anything?
[Subscribe here]
 
More in Machine Learning, News
AI awakening
The Great A.I. Awakening – The New York Times

Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo,...

Close