Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach. / Rodríguez-Quiñonez, J. C.; Sergiyenko, O.; Flores-Fuentes, W. et al.
In: Opto-electronics Review, Vol. 25, No. 1, 01.05.2017, p. 24-32.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Rodríguez-Quiñonez, JC, Sergiyenko, O, Flores-Fuentes, W, Rivas-lopez, M, Hernandez-Balbuena, D, Rascón, R & Mercorelli, P 2017, 'Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach', Opto-electronics Review, vol. 25, no. 1, pp. 24-32. https://doi.org/10.1016/j.opelre.2017.03.001

APA

Rodríguez-Quiñonez, J. C., Sergiyenko, O., Flores-Fuentes, W., Rivas-lopez, M., Hernandez-Balbuena, D., Rascón, R., & Mercorelli, P. (2017). Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach. Opto-electronics Review, 25(1), 24-32. https://doi.org/10.1016/j.opelre.2017.03.001

Vancouver

Rodríguez-Quiñonez JC, Sergiyenko O, Flores-Fuentes W, Rivas-lopez M, Hernandez-Balbuena D, Rascón R et al. Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach. Opto-electronics Review. 2017 May 1;25(1):24-32. doi: 10.1016/j.opelre.2017.03.001

Bibtex

@article{78c014d29649403fbb5d0f13768c4a7d,
title = "Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods{\textquoteright} approach",
abstract = "This paper presents a 3D distance measurement accuracy improvement for stereo vision systems using optimization methods A Stereo Vision system is developed and tested to identify common uncertainty sources. As the optimization methods are used to train a neural network, the resulting equation can be implemented in real time stereo vision systems. Computational experiments and a comparative analysis are conducted to identify a training function with a minimal error performance for such method. The offered method provides a general purpose modelling technique, attending diverse problems that affect stereo vision systems. Finally, the proposed method is applied in the developed stereo vision system and a statistical analysis is performed to validate the obtained improvements.",
keywords = "Distance measurement, Optimization methods, Stereo vision, Engineering",
author = "Rodr{\'i}guez-Qui{\~n}onez, {J. C.} and O. Sergiyenko and W. Flores-Fuentes and M. Rivas-lopez and D. Hernandez-Balbuena and R. Rasc{\'o}n and Paolo Mercorelli",
year = "2017",
month = may,
day = "1",
doi = "10.1016/j.opelre.2017.03.001",
language = "English",
volume = "25",
pages = "24--32",
journal = "Opto-electronics Review",
issn = "1230-3402",
publisher = "Elsevier B.V.",
number = "1",

}

RIS

TY - JOUR

T1 - Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach

AU - Rodríguez-Quiñonez, J. C.

AU - Sergiyenko, O.

AU - Flores-Fuentes, W.

AU - Rivas-lopez, M.

AU - Hernandez-Balbuena, D.

AU - Rascón, R.

AU - Mercorelli, Paolo

PY - 2017/5/1

Y1 - 2017/5/1

N2 - This paper presents a 3D distance measurement accuracy improvement for stereo vision systems using optimization methods A Stereo Vision system is developed and tested to identify common uncertainty sources. As the optimization methods are used to train a neural network, the resulting equation can be implemented in real time stereo vision systems. Computational experiments and a comparative analysis are conducted to identify a training function with a minimal error performance for such method. The offered method provides a general purpose modelling technique, attending diverse problems that affect stereo vision systems. Finally, the proposed method is applied in the developed stereo vision system and a statistical analysis is performed to validate the obtained improvements.

AB - This paper presents a 3D distance measurement accuracy improvement for stereo vision systems using optimization methods A Stereo Vision system is developed and tested to identify common uncertainty sources. As the optimization methods are used to train a neural network, the resulting equation can be implemented in real time stereo vision systems. Computational experiments and a comparative analysis are conducted to identify a training function with a minimal error performance for such method. The offered method provides a general purpose modelling technique, attending diverse problems that affect stereo vision systems. Finally, the proposed method is applied in the developed stereo vision system and a statistical analysis is performed to validate the obtained improvements.

KW - Distance measurement

KW - Optimization methods

KW - Stereo vision

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85026799451&partnerID=8YFLogxK

U2 - 10.1016/j.opelre.2017.03.001

DO - 10.1016/j.opelre.2017.03.001

M3 - Journal articles

AN - SCOPUS:85026799451

VL - 25

SP - 24

EP - 32

JO - Opto-electronics Review

JF - Opto-electronics Review

SN - 1230-3402

IS - 1

ER -

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