stancam.thumbnail 3D Camera with 12,616 LensesNo, it’s not a get rich quick scheme by a company manufacturing lens cleaning tissues, but an idea for future technology from the brainy folk at Stanford University. A team by Professor Abbas El Gamal are working on a with a multi-aperture . This is basically an with super-small pixels – several times smaller than the pixels on a regular . They are clustered together on the sensor chip in groups of 256 pixels, and each group has its own micro lens. It is like having a lot of cameras on a single chip; in the 3- chip the researchers are working on is equivalent to 12,616 separate cameras.

So far so good, but the really clever bit is that by selectively defocusing images captured by the cameras, the data can be processed to produce detailed 3D image maps of whatever it happens to be pointing at. The researchers are only just starting to figure out what it will be good for, but early potential applications include facial recognition, biological imaging, 3D printing and creating , people and buildings for virtual worlds.

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