Compressive Single-Photon 3D Cameras
Abstract
Single-photon avalanche diodes (SPADs) are an emerging pixel technology for time-of-flight (ToF) 3D cameras that can capture the time-of-arrival of individual photons at picosecond resolution. To estimate depths, current SPAD-based 3D cameras measure the round-trip time of a laser pulse by building a per-pixel histogram of photon timestamps. As the spatial and timestamp resolution of SPAD-based cameras increase, their output data rates far exceed the capacity of existing data transfer technologies. One major reason for SPAD's bandwidth-intensive operation is the tight coupling that exists between depth resolution and histogram resolution. To weaken this coupling, we propose compressive single-photon histograms (CSPH). CSPHs are a per-pixel compressive representation of the high-resolution histogram, that is built on-the-fly, as each photon is detected. They are based on a family of linear coding schemes that can be expressed as a simple matrix operation. We design different CSPH coding schemes for 3D imaging and evaluate them under different signal and background levels, laser waveforms, and illumination setups. Our results show that a well-designed CSPH can consistently reduce data rates by 1-2 orders of magnitude without compromising depth precision.
Cite
Text
Gutierrez-Barragan et al. "Compressive Single-Photon 3D Cameras." Conference on Computer Vision and Pattern Recognition, 2022. doi:10.1109/CVPR52688.2022.01733Markdown
[Gutierrez-Barragan et al. "Compressive Single-Photon 3D Cameras." Conference on Computer Vision and Pattern Recognition, 2022.](https://mlanthology.org/cvpr/2022/gutierrezbarragan2022cvpr-compressive/) doi:10.1109/CVPR52688.2022.01733BibTeX
@inproceedings{gutierrezbarragan2022cvpr-compressive,
title = {{Compressive Single-Photon 3D Cameras}},
author = {Gutierrez-Barragan, Felipe and Ingle, Atul and Seets, Trevor and Gupta, Mohit and Velten, Andreas},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2022},
pages = {17854-17864},
doi = {10.1109/CVPR52688.2022.01733},
url = {https://mlanthology.org/cvpr/2022/gutierrezbarragan2022cvpr-compressive/}
}