Asynchronous Single-Photon 3D Imaging
Anant Gupta, Atul Ingle, Mohit Gupta
摘要
Single-photon avalanche diodes (SPADs) are becoming popular in time-of-flight depth-ranging due to their unique ability to capture individual photons with picosecond timing resolution. However, ambient light (e.g., sunlight) incident on a SPAD-based 3D camera leads to severe non-linear distortions (pileup) in the measured waveform, resulting in large depth errors. We propose asynchronous single-photon 3D imaging, a family of acquisition schemes to mitigate pileup during data acquisition itself. Asynchronous acquisition temporally misaligns SPAD measurement windows and the laser cycles through deterministically predefined or randomized offsets. Our key insight is that pileup distortions can be “averaged out” by choosing a sequence of offsets that span the entire depth range. We develop a generalized image formation model and perform theoretical analysis to explore the space of asynchronous acquisition schemes and design high-performance schemes. Our simulations and experiments demonstrate an improvement in depth accuracy of up to an order of magnitude as compared to the state-of-the-art, across a wide range of imaging scenarios, including those with high ambient flux.
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引用它的顶会 Paper15
- Compressive Single-Photon 3D CamerasFelipe Gutierrez-Barragan, Atul Ingle, Trevor Seets, Mohit Gupta 等CVPR 2022 · 被引用 21 次
- Adaptive Gating for Single-Photon 3D ImagingRyan Po, Adithya Pediredla, Ioannis GkioulekasCVPR 2022 · 被引用 16 次
- Passive Ultra-Wideband Single-Photon ImagingMian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell 等ICCV 2023 · 被引用 15 次
- Photon-Starved Scene Inference using Single Photon CamerasBhavya Goyal, Mohit GuptaICCV 2021 · 被引用 14 次
- Learned Compressive Representations for Single-Photon 3D ImagingFelipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle 等ICCV 2023 · 被引用 7 次
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