Standard

Rapid prototyping of face retrieval systems in Simulink. / Petrova, Varvara A.; Shchegoleva, Nadezhda L.

Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. p. 312-314 7970571 (Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Petrova, VA & Shchegoleva, NL 2017, Rapid prototyping of face retrieval systems in Simulink. in S Shaposhnikov (ed.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017., 7970571, Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, Institute of Electrical and Electronics Engineers Inc., pp. 312-314, 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, St. Petersburg, Russian Federation, 24/05/17. https://doi.org/10.1109/SCM.2017.7970571

APA

Petrova, V. A., & Shchegoleva, N. L. (2017). Rapid prototyping of face retrieval systems in Simulink. In S. Shaposhnikov (Ed.), Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 (pp. 312-314). [7970571] (Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCM.2017.7970571

Vancouver

Petrova VA, Shchegoleva NL. Rapid prototyping of face retrieval systems in Simulink. In Shaposhnikov S, editor, Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 312-314. 7970571. (Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017). https://doi.org/10.1109/SCM.2017.7970571

Author

Petrova, Varvara A. ; Shchegoleva, Nadezhda L. / Rapid prototyping of face retrieval systems in Simulink. Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. editor / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 312-314 (Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017).

BibTeX

@inproceedings{a035b91ce3924b51b44afba5d891c62d,
title = "Rapid prototyping of face retrieval systems in Simulink",
abstract = "The aim of the research is to compare and select software tools for rapid prototyping of face retrieval systems with arbitrary structure (parallel, cascade, combined) that satisfy the requirements of the problem being solved. The relevance of development of modeling tools for face retrieval systems (FaRetSys) was shown, selection of software tools (Simulink + Matlab) was substantiated: methods are previously debugged in Matlab, and then integrated into Simulink blocks. The concept of organizing a library for modeling FaRetSys is proposed. Functions and the methodology of using the library in solving modeling problems are given from point of view the block composition concept. The developed library was used to solve the variational problem of selecting the structure and adjusting the parameters of FaRetSys based on mathematical modeling in Simulink. A synthesized system with a parallel structure confirmed the increased accuracy of FaRetSys by using parallel FaRetSys and making a decision based on a comparison of subsystems operation results.",
keywords = "face recognition, object-oriented modeling",
author = "Petrova, {Varvara A.} and Shchegoleva, {Nadezhda L.}",
year = "2017",
month = jul,
day = "6",
doi = "10.1109/SCM.2017.7970571",
language = "English",
series = "Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "312--314",
editor = "S. Shaposhnikov",
booktitle = "Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017",
address = "United States",
note = "20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 ; Conference date: 24-05-2017 Through 26-05-2017",

}

RIS

TY - GEN

T1 - Rapid prototyping of face retrieval systems in Simulink

AU - Petrova, Varvara A.

AU - Shchegoleva, Nadezhda L.

PY - 2017/7/6

Y1 - 2017/7/6

N2 - The aim of the research is to compare and select software tools for rapid prototyping of face retrieval systems with arbitrary structure (parallel, cascade, combined) that satisfy the requirements of the problem being solved. The relevance of development of modeling tools for face retrieval systems (FaRetSys) was shown, selection of software tools (Simulink + Matlab) was substantiated: methods are previously debugged in Matlab, and then integrated into Simulink blocks. The concept of organizing a library for modeling FaRetSys is proposed. Functions and the methodology of using the library in solving modeling problems are given from point of view the block composition concept. The developed library was used to solve the variational problem of selecting the structure and adjusting the parameters of FaRetSys based on mathematical modeling in Simulink. A synthesized system with a parallel structure confirmed the increased accuracy of FaRetSys by using parallel FaRetSys and making a decision based on a comparison of subsystems operation results.

AB - The aim of the research is to compare and select software tools for rapid prototyping of face retrieval systems with arbitrary structure (parallel, cascade, combined) that satisfy the requirements of the problem being solved. The relevance of development of modeling tools for face retrieval systems (FaRetSys) was shown, selection of software tools (Simulink + Matlab) was substantiated: methods are previously debugged in Matlab, and then integrated into Simulink blocks. The concept of organizing a library for modeling FaRetSys is proposed. Functions and the methodology of using the library in solving modeling problems are given from point of view the block composition concept. The developed library was used to solve the variational problem of selecting the structure and adjusting the parameters of FaRetSys based on mathematical modeling in Simulink. A synthesized system with a parallel structure confirmed the increased accuracy of FaRetSys by using parallel FaRetSys and making a decision based on a comparison of subsystems operation results.

KW - face recognition

KW - object-oriented modeling

UR - http://www.scopus.com/inward/record.url?scp=85027189439&partnerID=8YFLogxK

U2 - 10.1109/SCM.2017.7970571

DO - 10.1109/SCM.2017.7970571

M3 - Conference contribution

AN - SCOPUS:85027189439

T3 - Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

SP - 312

EP - 314

BT - Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

Y2 - 24 May 2017 through 26 May 2017

ER -

ID: 49224660