Distance Measurement Algorithm Based on Binocular Stereo Vision

Hui Min Long; Hai Yan Guo; Feng Liang; Gui Hua Liu

doi:10.4028/www.scientific.net/AMM.635-637.948

Paper Titles

Novel Low-Frequency Rectangular-Loop Piezoelectric Energy Harvester
p.928

Research on the Evaluation of Plane Orientation Error Based on Uncertainty Theory
p.932

Research on Solar Panels Online Defect Detecting Method
p.938

The Design of Eddy Current Sensor Based on ANSYS and the Research on Weld Flaw Recognition Method
p.942

Distance Measurement Algorithm Based on Binocular Stereo Vision
p.948

Optimal Experiment Design of Travel Time Tomography with Sparse Rays
p.953

Experimental Research on Energy Spectrum Analysis on Chips from Aeroengine Oil System
p.957

Instrumentation of On-Line Detection of Microbial Density
p.962

Feature Extraction of Valve Faults with Fixed Time Basis for Multi-Resolution
p.967

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Distance Measurement Algorithm Based on Binocular...

Distance Measurement Algorithm Based on Binocular Stereo Vision

Abstract:

Distance measurement technology of binocular stereo vision has the advantages of wide-range detection, simplicity and reliability. The method is widely applied to robot obstacle avoidance and path planning. Binocular stereo vision can only measure the distance of images feature points generally. However, more information about distance of non-feature points is also needed to acquire in practical applications. This paper proposes a stereo distance measurement method, which can measure distance of points whether it is a feature point or not based on a dense matching method. A dense parallax map is obtained by the graph-cuts algorithm. On the basis of the calibration parameters of binocular camera and the left and right image dense parallax map, the three-dimensional coordinates of the any points and their distance will be gotten. The true image experiment has proved the feasibility of this algorithm with high accuracy and maneuverability.

You might also be interested in these eBooks

Advanced Design and Manufacturing Technology IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

948-952

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.948

Citation:

Cite this paper

Online since:

September 2014

Authors:

Hui Min Long, Hai Yan Guo, Feng Liang, Gui Hua Liu*

Keywords:

Binocular Stereo Vision, Dense Matching, Distance Measurement, Graph Cuts

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Kun Zhu, TangwenYang, Qiuqi Ruan. Real-Time Tracking and Measuring of Moving Objects Based on Binocular Vision. Robot Vol. 31 (2009), p.327.

Google Scholar

[2] LIANG Bing, HONG Bing-rong, SHU Guang . Research on Vision-Action Model of Autonomous Robot and Obstacle Avoiding. Acta Electronica Sinica. Vol. 2 (2004), p.2197.

Google Scholar

[3] De Xun, Min Tan. Visual Measurement and Control for Robots，(National Defense Industry Press, Beijing , 2008).

Google Scholar

[4] Xiong Chao, Tian Xiaofang, Lu Qiyong. Real-time binocular matching and depth measurement based on competing schema. Computer Engineering and Applications, 2006, (1), p.83.

Google Scholar

[5] Longyuan Guo. Research on Computer Vision Stereo Correspondence Theory and Algorithms. Nanjing University of Science and Technology, 2009.

Google Scholar

[6] WANG Li-zhong, MA Shuo-shi, XUE He-ru, HOU Zhen-jie. An Improved SIFT Algorithm for Feature Point Matching . Journal of Inner Mongolia University. Vol. 40 (2009), p.615.

Google Scholar

[7] Shengxia Liu, Stereo Matching Based on Phase Information. Shanghai Jiao Tong University. (2010).

Google Scholar