Structured light field 3D imaging

Creators

Yongkai Yin, School of Information Science and Engineering, Shandong University
Ameng Li, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics, Shenzhen University
Zewei Cai, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics, Shenzhen University
Jiachen Wu, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics, Shenzhen University
Xiaoli Liu, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics, Shenzhen University
Xiang Peng, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen Key Laboratory of Micro-Nano Measuring and Imaging in Biomedical Optics, Shenzhen University
Bruce Z. Gao, Department of Bioengineering, COMSET, Clemson University

Description

In this paper, we propose a method by means of light field imaging under structured illumination to deal with high dynamic range 3D imaging. Fringe patterns are projected onto a scene and modulated by the scene depth then a structured light field is detected using light field recording devices. The structured light field contains information about ray direction and phase-encoded depth, via which the scene depth can be estimated from different directions. The multidirectional depth estimation can achieve high dynamic 3D imaging effectively. We analyzed and derived the phase-depth mapping in the structured light field and then proposed a flexible ray-based calibration approach to determine the independent mapping coefficients for each ray. Experimental results demonstrated the validity of the proposed method to perform high-quality 3D imaging for highly and lowly reflective surfaces.

Publication Date

1-1-2016

Publisher

figshare Academic Research System

DOI

10.6084/m9.figshare.c.3766157.v1

Document Type

Data Set

Recommended Citation

Yin, Yongkai; Li, Ameng; Cai, Zewei; Wu, Jiachen; Liu, Xiaoli; Peng, Xiang; Gao, Bruce Z. (2016), "Structured light field 3D imaging", figshare Academic Research System, doi: 10.6084/m9.figshare.c.3766157.v1

https://doi.org/10.6084/m9.figshare.c.3766157.v1

Identifier

10.6084/m9.figshare.c.3766157.v1

Related Content

10.1364/oe.24.020324

Embargo Date

1-1-2016