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Vol. 161, Issue 12, December 2013, pp. 74-85

 

Bullet

 

Layout Optimization of Binocular Stereo Vision Measuring System
 
Zhenyuan JIA, Mingxing LI, Wei LIU, Yang LIU and Zhiliang SHANG

Key Laboratory for Precision and Non-traditional Machining Technology of the Ministry of Education, Dalian University of Technology, 116024, People's Republic of China
Tel.: +86-0411-84708159, fax: +86-0411-84708159
E-mail: lw2007@dlut.edu.cn

 

Received: 9 October 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: When measuring the dimensions of large parts with binocular stereo vision measuring system, image point extraction error, resulting from image sampling, is one of the key influencing factors to the measuring accuracy. In this paper, a mathematical model of the relationship between the measurement error caused by image point extraction error (resulting from image sampling) and structural parameters, such as focal length, baseline distance, etc. is proposed. In this model, the constraint of effective field of view (FOV) of the binocular sensor is taken into consideration. Then, the layout optimization is conducted by using the genetic algorithm (GA) to obtain a set of optimal structural parameters. Finally, both the comprehensive measurement error of the space points and their measurement error in each coordinate component are analyzed under the optimal layout. The analysis method proposed in this paper would provide effective theoretical guidance for the reasonable layout of the cameras without calibration.

 

Keywords: Binocular stereo vision, Extraction error, Structural parameters, Genetic algorithm, Layout optimization, Image sampling.

 

 

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