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A research group from Stanford University has been developing a way to develop a camera that applies computational photography techniques. Just so you know, computational photography uses sensing strategies and algorithmic techniques to enhance or extend the capabilities of digital photography. The result is an ordinary-looking image that cannot be taken using a traditional camera. Examples of techniques in computational photography include high dynamic range photomontage, all-focus image, photography under structured illumination, and multi-perspective and panoramic stitching. Although the techniques look promising, most of these cannot be implemented on camera phones, either because the camera’s sensors are not good enough, the computing resources are not powerful enough, or the APIs connecting the camera to the computer can be too restrictive.

The Linux-powered Frankencamera experiment (pictured) is fully-programmable, can accommodate SLR lenses, and can be connected to the Internet. The prototype was made from off-the-shelf materials and even from dead cameras. It is named such because as they say, “It’s also ugly.”

The group has also able to create an API that incorporates their experiment into smartphone cameras. The FCam API can be installed on the Nokia N900 smartphone without having to brick the phone, enabling users to make the phone’s camera programmable. Click here to know how.

Source: Stanford.edu



[...] Gadget.com, Stanford U Creates API that Applies Computational Photography in Nokia N900 [...]

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