Imaging Components, Systems, and Processing

Metric three-dimensional reconstruction model from a light field and its calibration

[+] Author Affiliations
Chen Li, Xu Zhang, Dawei Tu

Shanghai University, School of Mechanical Engineering Automation, No. 149 Yanchang Road, Zhabei District, Shanghai 200072, China

Opt. Eng. 56(1), 013105 (Jan 11, 2017). doi:10.1117/1.OE.56.1.013105
History: Received August 11, 2016; Accepted December 14, 2016
Text Size: A A A

Abstract.  The traditional methods of depth reconstruction from light fields have excellent performance in depth estimation; however, the depth information has nonlinear scale ambiguity. We divide the three-dimensional metric information into two easy subproblems instead of a whole question. A two-step method is proposed to obtain the metric depth and the metric lateral information, respectively. The depth model is proposed using the refocus property of the light field and the Gaussian lens formula. The model of the lateral coordinate is reasoned from the relationship between the light field in the scene and the recorded light field. Then, three calibration methods are proposed to determine these five parameters (the center position of the microlens for recovering the four-dimensional light field, the camera principal point, and the initial image distance). The experiments are conducted in our developed light field camera. The precision performance of our method is also confirmed in measuring the calibration board. When the proposed method is adopted to reconstruct the natural scene, the preferable results are obtained.

© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Chen Li ; Xu Zhang and Dawei Tu
"Metric three-dimensional reconstruction model from a light field and its calibration", Opt. Eng. 56(1), 013105 (Jan 11, 2017). ; http://dx.doi.org/10.1117/1.OE.56.1.013105


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.