TY - GEN
T1 - High spatial resolution time-of-flight imaging
AU - Li, Fengqiang
AU - Chen, Huaijin
AU - Yeh, Chia Kai
AU - Veeraraghavan, Ashok
AU - Cossairt, Oliver Strides
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Continuous wave time-of-flight (ToF) cameras have been rapidly gaining widespread adoption in many applications due to their cost effectiveness, simplicity, and compact size. However, the current generation of ToF cameras suffers from low spatial resolution due to physical fabrication limitations. In this paper, we propose an imaging architecture to achieve high spatial resolution ToF imaging using optical multiplexing and compressive sensing (CS). Our approach is based on the observation that, while depth is non-linearly related to ToF pixel measurements, a phasor representation of captured images results in a linear image formation model. We utilize this property to develop a CS-based technique that is used to recover high resolution 3D images. Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4 x improvement in spatial resolution. We believe that our proposed architecture provides a simple and low-cost solution to improve the spatial resolution of ToF and related sensors.
AB - Continuous wave time-of-flight (ToF) cameras have been rapidly gaining widespread adoption in many applications due to their cost effectiveness, simplicity, and compact size. However, the current generation of ToF cameras suffers from low spatial resolution due to physical fabrication limitations. In this paper, we propose an imaging architecture to achieve high spatial resolution ToF imaging using optical multiplexing and compressive sensing (CS). Our approach is based on the observation that, while depth is non-linearly related to ToF pixel measurements, a phasor representation of captured images results in a linear image formation model. We utilize this property to develop a CS-based technique that is used to recover high resolution 3D images. Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4 x improvement in spatial resolution. We believe that our proposed architecture provides a simple and low-cost solution to improve the spatial resolution of ToF and related sensors.
KW - Compressing Sensing
KW - Inverse Problem
KW - Superresolution
KW - Time-of-Flight Imaging
UR - http://www.scopus.com/inward/record.url?scp=85049529269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049529269&partnerID=8YFLogxK
U2 - 10.1117/12.2303794
DO - 10.1117/12.2303794
M3 - Conference contribution
AN - SCOPUS:85049529269
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Computational Imaging III
A2 - Ashok, Amit
A2 - Petruccelli, Jonathan C.
A2 - Mahalanobis, Abhijit
A2 - Tian, Lei
PB - SPIE
T2 - Computational Imaging III 2018
Y2 - 15 April 2018 through 17 April 2018
ER -