The idea was a simple (but clever) one - use virtual reality to segment the world into solid blocks of identified objects. The solid blocks are identifiable to those with poor vision in a way that the real world is not.
Essentially this meant processing an image, identifying items e.g. cars, fences, roads etc and then colouring them solid. So instead of a confusing scene of blur, you have a blurred but still identifiable scene of a solid strip of grey for the road, a solid blob of red for the car, another solid yellow stip for a fence etc. A poorly sighted person could still identify from this something that made sense in a way that they couldn't in the real world.
What was required was an input, real time visual processing and then display back to the user - all of which was fantasy 15 year ago.
However, attempt this today with a visual feed, real time processing like this, and then near instantaneous display of the results back to the person with e.g. google glass, and you might have a viable way to show the world categorised in a visual way that will help those with poor vision. Interesting times.