Measurement of the Depth Distance Based on the Binocular Stereo Vision

A Lin Hou; Ying Geng; Xue Cui; Wen Ju Yuan; Feng Guang Shi

doi:10.4028/www.scientific.net/AMR.468-471.1895

Paper Titles

Improving the Communication Performance in Multi-Agent Systems for Distributed Manufacturing Process Control
p.1878

Huffman Tree Visualization
p.1883

Heterogeneities Measurements of Crack Tip Deformation Fields in Random Short Spruce/PP Composites
p.1887

Learning Visual Object Classifiers with only Positive Images
p.1891

Measurement of the Depth Distance Based on the Binocular Stereo Vision
p.1895

Independent Innovation Network Teaching Platform Research
p.1899

The Design and Implementation of a Parallel Configurable Paseudorandom Sequence Generator
p.1903

Limit Deformation Analysis of Rectangular Stiffened Plate to Near-Filed Explosions
p.1907

Microcrystalline Silicon Thin Films and Triple-Junction Solar Cells
p.1912

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Measurement of the Depth Distance Based on the...

Measurement of the Depth Distance Based on the Binocular Stereo Vision

Abstract:

The measurement system of the depth distance based on binocular stereo vision is proposed. The model of camera imaging is established and the process of camera calibration is described. Interior and external parameters of two cameras are calculated by HALCON. Then the depth distance can be obtained by the parallax measurement of the image pairs. The simulation experiments have been done and the results demonstrated that the measuring method is feasible.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

1895-1898

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.1895

Citation:

Cite this paper

Online since:

February 2012

Authors:

A Lin Hou, Ying Geng, Xue Cui, Wen Ju Yuan, Feng Guang Shi

Keywords:

Binocular Stereo Vision, Camera Calibration, Depth Distance, Parallax

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Bakstein, R. Halir. Czech Pattern Recognition Workshop 2000(CPRW'2000), pp.1-7.

Google Scholar

[2] C. Steger, M. Ulrich, C. Wiedemann and S.R. Yang, in: Machine Vision Algorithms and Applications, edited by Tsinghua university Press, Beijing, Nov 2008, pp.257-261..

Google Scholar

[3] A.L. Hou, X. Cui, Y. Geng, W.J. Yuan and J. Hou. Proceedings - 6th International Conference on Image and Graphics.(2011), pp.902-907.

Google Scholar

[4] C.K. Park, J.G. Lee, et al. IEEE Proc-Radar, Sonar Navig. Vol. 144(3) (1997), pp.148-155.

DOI: 10.1049/ip-rsn:19971237

Google Scholar

[5] X.Q. Meng, H. Li and Z.Y. Hu. edited by. http://escholarship.org/uc/item/7rk1m68d.

Google Scholar

[6] Z.W. Kim. Geometry of Vanishing Points and its Application to External Calibration and Realtime Pose Estimation. http://escholarship.org/uc/item/1m71z3t3. (2006)

Google Scholar