Wednesday 24 February 2016
Have you ever looked through your photo library and tried to determine where an image was taken without any additional detective work? It’s not always an easy task. Today, MIT Tech Review details a new project led by Tobias Weyand, a computer vision specialist at Google. The project breaks photos down to the pixel-level and then tries to cross-reference these pixels with its massive image library to determine where they best fit. It’s the digital equivalent of grabbing a puzzle piece and then seeing which puzzle it best fits in. Only, in this case, there are hundreds of millions (or more) of puzzles.…
This story continues at The Next Web
