Researchers at Virginia Polytechnic Institute and State University developed an algorithm that uses artificial intelligence to digitally remove unwanted objects in photos.
The neural network analyzes several frames in a motion photo taken by a smartphone, identifies various objects in the image, and calculates the distance to each object.
It then separates the objects into different layers, removing the foreground layer to provide an unobstructed view of the objects behind.
The neural network automatically identifies distracting objects, including reflections, in the foreground of the image during the process of learning.
The algorithm works faster than prior methods, taking just three minutes to decipher a 1,296-by-864-pixel image.
From New Scientist
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