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A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem

In camera auto calibration, the major goal is to discover intrinsic parameter values that minimize the cost function. This study proposes to implement Bat algorithm, a stochastic optimization technique, to determine the optimum intrinsic parameter values. Each bat in the Bat Algorithm represents a p...

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Main Authors: Mohd Said, Rahaini, A Aziz, Khairul Azha, Zainal Abidin, Amar Faiz, Mat Jizat, Jessnor Arif, Mohd Khairuddin, Ismail, Widiyanto, Sigit, Abdul Waduth, Mohamed Faisal
Format: Article
Language:English
Published: Penerbit UMP 2022
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/37221/2/A%20study%20on%20the%20parameter%20selection%20of%20bat%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/37221/
https://doi.org/10.15282/mekatronika.v4i1.7677
https://doi.org/10.15282/mekatronika.v4i1.7677
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spelling my.ump.umpir.372212023-03-08T07:53:16Z http://umpir.ump.edu.my/id/eprint/37221/ A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem Mohd Said, Rahaini A Aziz, Khairul Azha Zainal Abidin, Amar Faiz Mat Jizat, Jessnor Arif Mohd Khairuddin, Ismail Widiyanto, Sigit Abdul Waduth, Mohamed Faisal T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TS Manufactures In camera auto calibration, the major goal is to discover intrinsic parameter values that minimize the cost function. This study proposes to implement Bat algorithm, a stochastic optimization technique, to determine the optimum intrinsic parameter values. Each bat in the Bat Algorithm represents a potential solution to the issue, and each dimension in the Bat Algorithm's search space represents one of the basic parameters: skew, focal length, and magnification factor. The Kruppa's equation is the basis for the cost function in this study. By studying the echolocation behavior of the microbats, the bats will try to improve the fitness with each iteration. The Bat Algorithm's performance is evaluated using a case study from a database from Le2i Universite de Bourgoune. This paper studies the correlation of different parameters selection in Bat Algorithm in solving the camera auto-calibration problem. Finding shows that Bat Algorithm produces output that as expected as theory of Computational Intelligence suggested. Penerbit UMP 2022 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/37221/2/A%20study%20on%20the%20parameter%20selection%20of%20bat%20algorithm.pdf Mohd Said, Rahaini and A Aziz, Khairul Azha and Zainal Abidin, Amar Faiz and Mat Jizat, Jessnor Arif and Mohd Khairuddin, Ismail and Widiyanto, Sigit and Abdul Waduth, Mohamed Faisal (2022) A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 4 (1). pp. 50-55. ISSN 2637-0883 https://doi.org/10.15282/mekatronika.v4i1.7677 https://doi.org/10.15282/mekatronika.v4i1.7677
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Mohd Said, Rahaini
A Aziz, Khairul Azha
Zainal Abidin, Amar Faiz
Mat Jizat, Jessnor Arif
Mohd Khairuddin, Ismail
Widiyanto, Sigit
Abdul Waduth, Mohamed Faisal
A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
description In camera auto calibration, the major goal is to discover intrinsic parameter values that minimize the cost function. This study proposes to implement Bat algorithm, a stochastic optimization technique, to determine the optimum intrinsic parameter values. Each bat in the Bat Algorithm represents a potential solution to the issue, and each dimension in the Bat Algorithm's search space represents one of the basic parameters: skew, focal length, and magnification factor. The Kruppa's equation is the basis for the cost function in this study. By studying the echolocation behavior of the microbats, the bats will try to improve the fitness with each iteration. The Bat Algorithm's performance is evaluated using a case study from a database from Le2i Universite de Bourgoune. This paper studies the correlation of different parameters selection in Bat Algorithm in solving the camera auto-calibration problem. Finding shows that Bat Algorithm produces output that as expected as theory of Computational Intelligence suggested.
format Article
author Mohd Said, Rahaini
A Aziz, Khairul Azha
Zainal Abidin, Amar Faiz
Mat Jizat, Jessnor Arif
Mohd Khairuddin, Ismail
Widiyanto, Sigit
Abdul Waduth, Mohamed Faisal
author_facet Mohd Said, Rahaini
A Aziz, Khairul Azha
Zainal Abidin, Amar Faiz
Mat Jizat, Jessnor Arif
Mohd Khairuddin, Ismail
Widiyanto, Sigit
Abdul Waduth, Mohamed Faisal
author_sort Mohd Said, Rahaini
title A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
title_short A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
title_full A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
title_fullStr A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
title_full_unstemmed A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
title_sort study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
publisher Penerbit UMP
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37221/2/A%20study%20on%20the%20parameter%20selection%20of%20bat%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/37221/
https://doi.org/10.15282/mekatronika.v4i1.7677
https://doi.org/10.15282/mekatronika.v4i1.7677
_version_ 1761616609189822464
score 13.211869

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