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Anti-distortion bioinspired camera with an inhomogeneous photo-pixel array
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AbstractThe bioinspired camera, comprising a single lens and a curved image sensor—a photodiode array on a curved surface—, was born of flexible electronics. Its economical build lends itself well to space-constrained machine vision applications. The curved sensor, much akin to the retina, helps image focusing, but the curvature also creates a problem of image distortion, which can undermine machine vision tasks such as object recognition. Here we report an anti-distortion single-lens camera, where 4096 silicon photodiodes arrayed on a curved surface in a nonuniform pattern assimilated to the distorting optics are the key to anti-distortion engineering. That is, the photo-pixel distribution pattern itself is warped in the same manner as images are warped, which correctively reverses distortion. Acquired images feature no appreciable distortion across a 120° horizontal view, as confirmed by their neural-network recognition accuracies. This distortion correction via photo-pixel array reconfiguration is a form of in-sensor computing.
Springer Science and Business Media LLC
Title: Anti-distortion bioinspired camera with an inhomogeneous photo-pixel array
Description:
AbstractThe bioinspired camera, comprising a single lens and a curved image sensor—a photodiode array on a curved surface—, was born of flexible electronics.
Its economical build lends itself well to space-constrained machine vision applications.
The curved sensor, much akin to the retina, helps image focusing, but the curvature also creates a problem of image distortion, which can undermine machine vision tasks such as object recognition.
Here we report an anti-distortion single-lens camera, where 4096 silicon photodiodes arrayed on a curved surface in a nonuniform pattern assimilated to the distorting optics are the key to anti-distortion engineering.
That is, the photo-pixel distribution pattern itself is warped in the same manner as images are warped, which correctively reverses distortion.
Acquired images feature no appreciable distortion across a 120° horizontal view, as confirmed by their neural-network recognition accuracies.
This distortion correction via photo-pixel array reconfiguration is a form of in-sensor computing.
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