从实际测量和数字面部图像中获取面部度量特征的技术操作者依赖性
- 作者: Yusupova A.A.1, Alyabyev F.V.1, Tsiupko E.V.1, Dyagileva A.P.1, Sukhareva K.V.1, Chesalov N.P.2, Vashchenko G.A.1
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隶属关系:
- Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
- Tomsk National Research Medical Center, Russian Academy of Science
- 期: 卷 9, 编号 4 (2023)
- 页面: 413-420
- 栏目: ORIGINAL STUDY ARTICLES
- URL: https://journals.rcsi.science/2411-8729/article/view/251335
- DOI: https://doi.org/10.17816/fm14221
- ID: 251335
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全文:
详细
论证。科学文献中没有研究证实，与数字图像测量相比，对受试者面部参数的人工测量方法在人像照片鉴定方面具有操作者依赖性。这些方法的劳动强度和测量准确度也尚未确定。
该研究的目的是确定人脸实际测量技术和数字图像测量技术的操作者依赖性。
材料与方法。四名研究人员分别用仪器测量了24名19-20岁高加索女性的面部参数。这些女孩就读于以V.F.Voyno-Yasenetsky教授命名的克拉斯诺亚尔斯克国立医科大 学（Krasnoyarsk State Medical University，KrasSMU）。对每位受试者面部的五个投影进行了同类型的标准数字摄影，然后对实际测量结果与数字测量结果进行比较。
结果。在比较通过数字图像或人工方法获得的面部测量结果时，发现了测量误差。当一名研究人员用两种不同的方法测量一个特定参数时，其他研究人员的测量结果都非常好，因此就会出现这些误差。在研究中，人工方法的偏差最大。这可能是由于测量结果与操作者有关。
结论。由于没有操作者依赖性，在有条不紊态度的条件下，与实际测量相比，使用数字面部图像的测量方法更准确，其劳动强度也更低。这可被用于犯罪侦查实践。
作者简介
Alexandra A. Yusupova
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
Email: aleksandra-yusup@mail.ru
ORCID iD: 0009-0000-8687-4312
SPIN 代码: 4651-5075
俄罗斯联邦, Krasnoyarsk
Fedor V. Alyabyev
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
Email: alfedval@mail.ru
ORCID iD: 0000-0003-4438-1717
SPIN 代码: 2995-4963
MD, Dr. Sci. (Med.), Professor
俄罗斯联邦, KrasnoyarskEkaterina V. Tsiupko
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
Email: tsiupkoev@mail.ru
ORCID iD: 0000-0002-5283-255X
SPIN 代码: 9334-6471
俄罗斯联邦, Krasnoyarsk
Alina P. Dyagileva
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
Email: alya.krasnova.598@mail.ru
ORCID iD: 0000-0002-8141-3055
SPIN 代码: 9182-7870
俄罗斯联邦, Krasnoyarsk
Kristina V. Sukhareva
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
Email: kristina.sukhareva.98@mail.ru
ORCID iD: 0009-0007-2176-2257
SPIN 代码: 4444-2200
俄罗斯联邦, Krasnoyarsk
Nazariy P. Chesalov
Tomsk National Research Medical Center, Russian Academy of Science
Email: nazary.chesalov@gmail.com
ORCID iD: 0000-0003-4060-9470
SPIN 代码: 8124-9991
俄罗斯联邦, Tomsk
Galina A. Vashchenko
Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University
编辑信件的主要联系方式.
Email: galina.555.v@mail.ru
ORCID iD: 0009-0002-2224-3241
SPIN 代码: 5852-6474
俄罗斯联邦, Krasnoyarsk
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