Researchers have combined a technique known as ghost imaging with human vision to reconstruct images of objects not directly seen by a person.
A method that might make it possible to increase human capacities. Researchers at the University of Glasgow have recently demonstrated that it is possible to use artificial intelligence (AI) and the human brain to “see” hidden objects. They used the technique of ghost imaging (also called computer imaging), which produces an image of an object by combining information from two light detectors, one of which can see the object and the other cannot. . Here is the person who was unable to see the object.
Reconstructing an image using the brain and an algorithm
In detail, a projector was used to create light patterns on a cardboard cutout acting as the photographed object. The individual was placed to the left of a dark wall and facing a white wall. On the other side of the first wall, the projector diffused the light on the second. Thus, the observer might only see the light reflected by the white wall. He was fitted with an electroencephalography (EEG) helmet capable of reading the signals in his visual cortex. Feeding them into a computer, these were run through an algorithm that figured out how to reshape the projected light patterns and reconstructed the image.
The researchers claim that 16×16 pixel images of simple objects might be reconstructed using their technique, while the observer might not see these objects. Only one minute of observation would be needed to reconstruct the image.
Bringing artificial and human intelligence together
Previously, researchers had used human vision, but only passively. By having a person see the light patterns instead of a camera, the human visual system had an active role in the study. They preferred to use the human brain to detect signals in order to “to explore methods that might one day be used to augment human capabilities”, as indicated by Daniele Faccio, professor of quantum technologies at the University of Glasgow. According to him, the study carried out provides ideas that can be used to bring human and artificial intelligence closer together in the future. “The next steps in this work range from extending the ability to provide 3D depth information to finding ways to combine multiple pieces of information from different viewers at the same time”explained the researcher.
He will present these new discoveries at Optica’s Imaging and Applied Optics Congress, which takes place July 11-15. It is the premier organization for scientists, engineers, professionals, students, and others interested in the science of light.
