Key for any kind of real-world application.
Spotting objects amid clutter
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.
Jennifer Chu | MIT News Office
A new MIT-developed technique enables robots to quickly identify objects hidden in a three-dimensional cloud of data, reminiscent of how some people can make sense of a densely patterned“Magic Eye” image if they observe it in just the right way.
Robots typically “see” their environment through sensors that collect and translate a visual scene into a matrix of dots. Think of the world of, well, “The Matrix,” except that the 1s and 0s seen by the fictional character Neo are replaced by dots — lots of dots — whose patterns and densities outline the objects in a particular scene.
Conventional techniques that try to pick out objects from such clouds of dots, or point clouds, can do so with either speed or accuracy, but not both. .... "
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