Imaging Components, Systems, and Processing

Dense surface reconstruction based on the fusion of monocular vision and three-dimensional flash light detection and ranging

[+] Author Affiliations
Gangtao Hao, Xiaoping Du, Jiguang Zhao, Hang Chen, Yishuo Song

Academy of Equipment, No. 171, Mailbox 3380, Huairou District, Beijing 101416, China

Jianjun Song

95806 Troops, 6 East Jingbei Road, Fengtai District, Beijing 100076, China

Opt. Eng. 54(7), 073113 (Jul 27, 2015). doi:10.1117/1.OE.54.7.073113
History: Received April 13, 2015; Accepted June 29, 2015
Text Size: A A A

Abstract.  A dense surface reconstruction approach based on the fusion of monocular vision and three-dimensional (3-D) flash light detection and ranging (LIDAR) is proposed. The texture and geometry information can be obtained simultaneously and quickly for stationary or moving targets with the proposed method. Primarily, our 2-D/3-D fusion imaging system including cameras calibration and an intensity-range image registration algorithm is designed. Subsequently, the adaptive block intensity-range Markov random field (MRF) with optimizing weights is presented to improve the sparse range data from 3-D flash LIDAR. Then the energy function is minimized quickly by conjugate gradient algorithm for each neighborhood system instead of the whole MRF. Finally, the experiments with standard depth datasets and real 2-D/3-D images demonstrate the validity and capability of the proposed scheme.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Gangtao Hao ; Xiaoping Du ; Jiguang Zhao ; Hang Chen ; Jianjun Song, et al.
"Dense surface reconstruction based on the fusion of monocular vision and three-dimensional flash light detection and ranging", Opt. Eng. 54(7), 073113 (Jul 27, 2015). ; http://dx.doi.org/10.1117/1.OE.54.7.073113


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.