Presentation + Paper
14 May 2018 High spatial resolution time-of-flight imaging
Fengqiang Li, Huaijin Chen, Chia-Kai Yeh, Ashok Veeraraghavan, Oliver Cossairt
Author Affiliations +
Abstract
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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fengqiang Li, Huaijin Chen, Chia-Kai Yeh, Ashok Veeraraghavan, and Oliver Cossairt "High spatial resolution time-of-flight imaging", Proc. SPIE 10669, Computational Imaging III, 1066908 (14 May 2018); https://doi.org/10.1117/12.2303794
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Compressed sensing

Time of flight imaging

Inverse problems

Super resolution

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