Computer, Enhance: Scientists Reconstruct 3D Images From Eye Reflections
, comes with some very unique challenges. For starters, recreating 3D models from 2D images usually starts with high-quality source material, like video captured from a modern smartphone’s digital camera. Here, the reflections are extracted from a tiny, low-res portion of each frame, and they’re layered atop the complex textures of the eye’s iris, which also varies in color from person to person, requiring extensive post-processing to clean up the imagery.
Further complicating this approach is the fact that the series of 2D images being used to create the reconstruction are all originating from the same location, with only slight variations introduced as the subject’s eye looks around. If you’ve ever tried to generate a 3D model of an object or a room using a smartphone’s camera and an app, you know you have to move around and record it from all sides and angles in order to get optimal results. But that’s not an option here.
but these results were also achieved using optimal conditions: very basic scenes, very deliberate lighting, and high-res source imagery.When the researchers attempted to apply their approach to footage they weren’t responsible for capturing but was still created using ideal lighting conditions, such as a clip of Miley Cyrus from her, it’s impossible to discern what you’re looking at in the resulting 3D model.
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