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We propose OrbCam, a lensless architecture for imaging with sphericalsensors. Prior work in lensless imager techniques have focused largely on usingplanar sensors; for such designs, it is important to use a modulation element,e.g. amplitude or phase masks, to construct a invertible imaging system. Incontrast, we show that the diversity of pixel orientations on a curved surfaceis sufficient to improve the conditioning of the mapping between the scene andthe sensor. Hence, when imaging on a spherical sensor, all pixels can have thesame angular response function such that the lensless imager is comprised ofpixels that are identical to each other and differ only in their orientations.We provide the computational tools for the design of the angular response ofthe pixels in a spherical sensor that leads to well-conditioned andnoise-robust measurements. We validate our design in both simulation and a labprototype. The implications of our design is that the lensless imaging can beenabled easily for curved and flexible surfaces thereby opening up a new set ofapplication domains.

Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors