Mask-tof: Learning microlens masks for flying pixel correction in time-of-flight imaging
Abstract We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF)
depth captures. FPs are pervasive artifacts which occur around depth edges, where light
paths from both an object and its background are integrated over the aperture. This light
mixes at a sensor pixel to produce erroneous depth estimates, which can adversely affect
downstream 3D vision tasks. Mask-ToF starts at the source of these FPs, learning a
microlens-level occlusion mask which effectively creates a custom-shaped sub-aperture for …
depth captures. FPs are pervasive artifacts which occur around depth edges, where light
paths from both an object and its background are integrated over the aperture. This light
mixes at a sensor pixel to produce erroneous depth estimates, which can adversely affect
downstream 3D vision tasks. Mask-ToF starts at the source of these FPs, learning a
microlens-level occlusion mask which effectively creates a custom-shaped sub-aperture for …
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