Bio-inspired solution for the Homography problem

Talai, Zoubir; Ali, Yamina Mohamed Ben

doi:10.1134/s105466181404018x

Cited by 1 publication

(4 citation statements)

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“…For the foot sole plaster, the number of data is n ¼ 570 and the error is rms ¼ 0.126 mm. (9) and (10). Thus, the relative error is 0.92%, which is calculated based on the mean h m ¼ 13.85 mm.…”

Section: Experimental Results Of Three-dimensionalmentioning

confidence: 99%

“…[8][9][10][11][12][13][14][15][16] Thus, the traditional GA depends on external references to achieve the calibration. Therefore, the traditional GA uses known references to calibrate the vision parameters.…”

Section: Description Of the Genetic Algorithm Formentioning

confidence: 99%

“…4,5 These algorithms make an exploration in a high space to avoid trapping in local minima via mutation operator. 10 In this field, several algorithms have been implemented to estimate the vision parameters. 5 Thus, optical methods such as laser line and point projection calibrate the vision parameters via GAs to perform three-dimensional (3-D) vision.…”

Section: Introductionmentioning

confidence: 99%

“…(9)and(10). From each image, the laser line position x i;j is calculated in each row by means of Eqs.…”

mentioning

confidence: 99%

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Self-calibration of vision parameters via genetic algorithms with simulated binary crossover and laser line projection

Alanís

Rodríguez

2015

Opt. Eng

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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. Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 07/10/2015 Terms of Use: http://spiedl.org/terms Optical Engineering 053115-2 May 2015 • Vol. 54(5) Alanís and Rodríguez: Self-calibration of vision parameters via genetic algorithms. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 07/10/2015 Terms of Use: http://spiedl.org/terms Optical Engineering 053115-7 May 2015 • Vol. 54(5) Alanís and Rodríguez: Self-calibration of vision parameters via genetic algorithms. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 07/10/2015 Terms of Use: http://spiedl.org/terms

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Section: Experimental Results Of Three-dimensionalmentioning

confidence: 99%