TY - GEN
T1 - Depth and Transient Imaging with Compressive SPAD Array Cameras
AU - Sun, Qilin
AU - Dun, Xiong
AU - Peng, Yifan
AU - Heidrich, Wolfgang
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work is supported by the KAUST baseline funding.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - Time-of-flight depth imaging and transient imaging are two imaging modalities that have recently received a lot of interest. Despite much research, existing hardware systems are limited either in terms of temporal resolution or are prohibitively expensive. Arrays of Single Photon Avalanche Diodes (SPADs) promise to fill this gap by providing higher temporal resolution at an affordable cost. Unfortunately SPAD arrays are to date only available in relatively small resolutions. In this work we aim to overcome the spatial resolution limit of SPAD arrays by employing a compressive sensing camera design. Using a DMD and custom optics, we achieve an image resolution of up to 800Ã - 400 on SPAD Arrays of resolution 64Ã - 32. Using our new data fitting model for the time histograms, we suppress the noise while abstracting the phase and amplitude information, so as to realize a temporal resolution of a few tens of picoseconds.
AB - Time-of-flight depth imaging and transient imaging are two imaging modalities that have recently received a lot of interest. Despite much research, existing hardware systems are limited either in terms of temporal resolution or are prohibitively expensive. Arrays of Single Photon Avalanche Diodes (SPADs) promise to fill this gap by providing higher temporal resolution at an affordable cost. Unfortunately SPAD arrays are to date only available in relatively small resolutions. In this work we aim to overcome the spatial resolution limit of SPAD arrays by employing a compressive sensing camera design. Using a DMD and custom optics, we achieve an image resolution of up to 800Ã - 400 on SPAD Arrays of resolution 64Ã - 32. Using our new data fitting model for the time histograms, we suppress the noise while abstracting the phase and amplitude information, so as to realize a temporal resolution of a few tens of picoseconds.
UR - http://hdl.handle.net/10754/628901
UR - https://ieeexplore.ieee.org/document/8578134
UR - http://www.scopus.com/inward/record.url?scp=85062862127&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2018.00036
DO - 10.1109/CVPR.2018.00036
M3 - Conference contribution
SN - 9781538664209
SP - 273
EP - 282
BT - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -