A novel solution in the simultaneous deep optimization of RGB-D camera   calibration parameters using metaheuristic algorithms

Amir SAFAEI; Saeid FAZLI

Makale detayları

A novel solution in the simultaneous deep optimization of RGB-D camera calibration parameters using metaheuristic algorithms

Yazarlar:

Amir SAFAEI | Saeid FAZLI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.743-754

Belge Tipi:

Makale

Yayın Tarihi:

3/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000735234

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

This article presents a novel method for estimating 19   parameters of RGB and depth camera calibration simultaneously. The proposed   algorithm is based on applying metaheuristic methods for deep optimization   and estimating all parameters of intrinsic, extrinsic, and lens distortions   of cameras. This paper compares four metaheuristic algorithms, i.e. a   genetic algorithm, particle swarm optimization, the colonial competitive   algorithm, and the shuffled frog leaping algorithm, with a numerical   algorithm called singular value decomposition. The proposed method does not   need the initial estimation for optimization and it can avoid being trapped   in local minima. By using nondirect estimation, we achieve middle computing   matrices such as the homography matrix, which is used in the pinhole camera   model. Both versions of Kinect sensors are used for the experimental   evaluation. The mean square of the reprojection error criteria is defined as   the objective function in the proposed algorithm. The experimental results   show that the proposed method is more efficient and accurate than   traditional numerical solutions.

Makale detayları

A novel solution in the simultaneous deep optimization of RGB-D camera calibration parameters using metaheuristic algorithms

Yazarlar: Amir SAFAEI | Saeid FAZLI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.743-754

Belge Tipi: Makale

Yayın Tarihi: 3/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000735234

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Amir SAFAEI | Saeid FAZLI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.743-754

Belge Tipi:

Makale

Yayın Tarihi:

3/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000735234

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632