Researchers have used a new method to make a new type of “shadow system” that uses cameras to measure the distance between objects.
The technology, developed at the University of Michigan, uses sensors embedded in a flexible fiber optic film.
It has applications beyond gaming, allowing the tracking of cars in parking lots, for example.
In the new study, published in the journal PLOS ONE, the researchers created a shadow system that uses a computer vision algorithm to create 3D models of the light, which are then used to map a 3D scene.
“The algorithm uses light that reflects off a translucent surface and the image of that surface, then uses a 3-D camera to create an image of the object itself,” the researchers wrote in their paper.
“In a similar way, we can also use the image generated by the computer vision to generate a 3d model of the environment around the object.
The 3-d model is then used for estimating distance between the object and the environment.”
The system can create realistic models of a person’s body that have a certain shape and size.
The researchers also developed a new way to build 3D-printed “shadow systems” that can be embedded into a fabric.