Neural network and simple ToF sensor can generate 3D images: Page 2 of 3

July 31, 2020 //By Jean-Pierre Joosting
Neural network and simple ToF sensor can generate 3D images
A new method of imaging which harnesses artificial intelligence and a time-of-flight (ToF) sensor to create 3D images could help cars, mobile devices and health monitors develop 360-degree awareness.

Dr. Alex Turpin, Lord Kelvin Adam Smith Fellow in Data Science at the University of Glasgow’s School of Computing Science, led the University’s research team together with Prof. Daniele Faccio, with support from colleagues at the Polytechnic University of Milan and Delft University of Technology.

Dr. Turpin said: “Cameras in our cell-phones form an image by using millions of pixels. Creating images with a single pixel alone is impossible if we only consider spatial information, as a single-point detector has none. However, such a detector can still provide valuable information about time. What we’ve managed to do is find a new way to turn one-dimensional data – a simple measurement of time – into a moving image which represents the three dimensions of space in any given scene.”

“The most important way that differs from conventional image-making is that our approach is capable of decoupling light altogether from the process. Although much of the paper discusses how we’ve used pulsed laser light to collect the temporal data from our scenes, it also demonstrates how we’ve managed to use radar waves for the same purpose.”

“We’re confident that the method can be adapted to any system which is capable of probing a scene with short pulses and precisely measuring the return ‘echo’. This is really just the start of a whole new way of visualising the world using time instead of light.”

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