bullet Sensors & Transducers Journal

    (ISSN 1726-5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




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




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.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form



Read more about Wireless Sensor Networks






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn