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Optical Engineering

Self-calibration of vision parameters via genetic algorithms with simulated binary crossover and laser line projection
Author(s): Francisco C. Mejia-Alanis; J. Apolinar Muñoz Rodríguez
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Paper Abstract

A self-calibration technique based on genetic algorithms (GAs) with simulated binary crossover (SBX) and laser line imaging is presented. In this technique, the GA determines the vision parameters based on perspective projection geometry. The GA is constructed by means of an objective function, which is deduced from the equations of the laser line projection. To minimize the objective function, the GA performs a recombination of chromosomes through the SBX. This procedure provides the vision parameters, which are represented as chromosomes. The approach of the proposed GA is to achieve calibration and recalibration without external references and physical measurements. Thus, limitations caused by the missing of references are overcome to make self-calibration and three-dimensional (3-D) vision. Therefore, the proposed technique improves the self-calibration obtained by GAs with references. Additionally, 3-D vision is carried out via laser line position and vision parameters. The contribution of the proposed method is elucidated based on the accuracy of the self-calibration, which is performed with GAs.

Paper Details

Date Published: 27 May 2015
PDF: 9 pages
Opt. Eng. 54(5) 053115 doi: 10.1117/1.OE.54.5.053115
Published in: Optical Engineering Volume 54, Issue 5
Show Author Affiliations
Francisco C. Mejia-Alanis, Ctr. de Investigaciones en Óptica, A.C. (Mexico)
J. Apolinar Muñoz Rodríguez, Ctr. de Investigaciones en Óptica, A.C. (Mexico)

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