Problem
Research questions and friction points this paper is trying to address.
single-photon 3D cameras
pile-up
data bottleneck
high-photon-flux
High-Flux Count-Free Single-Photon 3D Cameras
๐ค AI Summary
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ๅญ้้ๆกไปถไธๅๅ
ๅญ3D็ธๆบ็ๅ ๅ ๅคฑ็้ฎ้ขใ
๐ Abstract
Single-photon cameras based on single-photon avalanche diode (SPAD) technology are gaining popularity for 3D sensing, thanks to their extreme sensitivity and time resolution. There are two key challenges with single-photon cameras that limit their widespread use: (i) they suffer from non-linear distortions called ''pile-up'' when operated in high-photon-flux conditions, and (ii) they generate a large volume of raw photon data, creating a severe data bottleneck at each sensor pixel. In this work, we show that while compressive capture techniques successfully mitigate data transfer challenges, they exacerbate the effects of dead-time distortion because they fail to retain sufficient information about the photon detection history to allow post-processing pile-up correction via existing methods. We propose a new computational-imaging method that combines free-running capture with an analysis-by-synthesis software pipeline to mitigate pile-up distortions. Our results with hardware emulations and full-scene and single-pixel simulations show that our method can reliably capture scene distance and reflectance over a wide range of illumination conditions. Our work will enable high-resolution SPAD cameras that are severely bandwidth-constrained to operate in real-world high-flux scenarios.
Innovation
Methods, ideas, or system contributions that make the work stand out.
computational imaging
pile-up distortion
single-photon avalanche diode (SPAD)
high-flux conditions
analysis-by-synthesis
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