• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于自动化摄影测量的人体扫描仪的机电设计与实验研究。

Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner.

机构信息

EDUROCO sp. z o.o., ul. Łąkowa 3/5, 90-562 Łódź, Poland.

ŁUKASIEWICZ Research Network-Industrial Research Institute for Automation and Measurements PIAP, Al. Jerozolimskie 202, 02-486 Warsaw, Poland.

出版信息

Sensors (Basel). 2023 Jun 23;23(13):5840. doi: 10.3390/s23135840.

DOI:10.3390/s23135840
PMID:37447690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10346942/
Abstract

The article concerns the mechatronic design and experimental investigations of the HUBO automated human body scanning system. Functional problems that should be solved by using the developed scanning system are defined. These include reducing the number of sensors used while eliminating the need to rotate a human and ensuring the automation of the scanning process. Research problems that should be the subject of experimental research are defined. The current state of the art in the field of systems and techniques for scanning the human figure is described. The functional and technical assumptions for the HUBO scanning system are formulated. The mechanical design of the scanner, the hardware and information system architectures as well as the user's mobile application are presented. The method of operation of the scanning system and its innovative features are discussed. It is demonstrated that the developed solution of the scanning system allows the identified problems to be overcome. The methodology of the experimental research of the scanning system based on the photogrammetry technique is described. The results of laboratory studies with the use of dummies and experimental research with human participation are presented. The scope of the research carried out allows answers to the identified research problems related to the scanning of the human figure using the photogrammetry technique to be obtained. As part of laboratory tests using a measuring dummy, a mean error of 0.65 mm and standard deviation of the mean of 0.65 mm were obtained for the best scanner configuration. Research with human participation was carried out for the scanner version, in which the scanning time was 30 s, with the possibility of its reduction to 15 s. The results of studies using realistic dummies and with human participation were compared using the root mean square error parameter (RMSE) provided by the AliceVision framework, which was available for all analyzed objects. As a result, it was observed that these results are comparable, i.e., the RMSE parameter is equal to about 1 px.

摘要

本文关注的是 HUBO 自动化人体扫描系统的机电设计和实验研究。定义了使用开发的扫描系统应解决的功能问题。这些问题包括减少使用的传感器数量，同时消除对人体的旋转需求，并确保扫描过程的自动化。定义了应作为实验研究主题的研究问题。描述了人体扫描系统领域的系统和技术的现状。提出了 HUBO 扫描系统的功能和技术假设。介绍了扫描仪的机械设计、硬件和信息系统架构以及用户的移动应用程序。讨论了扫描系统的操作方法及其创新功能。结果表明，所开发的扫描系统解决方案能够克服已识别的问题。描述了基于摄影测量技术的扫描系统实验研究的方法。介绍了使用模拟人和实验人体参与的实验室研究结果。所进行的研究范围允许获得与使用摄影测量技术扫描人体相关的已识别研究问题的答案。在使用测量模拟人的实验室测试中，对于最佳扫描仪配置，获得了 0.65 毫米的平均误差和 0.65 毫米的平均标准偏差。对于扫描时间为 30 秒的版本，进行了人体参与的研究，并且有可能将其减少到 15 秒。使用现实模拟人和人体参与的研究结果使用 AliceVision 框架提供的均方根误差参数 (RMSE) 进行了比较，所有分析对象都可以使用该框架。结果表明，这些结果是可比的，即 RMSE 参数等于约 1 px。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/426c364eb733/sensors-23-05840-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/d7d2db0254fb/sensors-23-05840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/79fd53d8bd77/sensors-23-05840-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/213e9102ed8b/sensors-23-05840-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/3c20dca32606/sensors-23-05840-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/64ef3d252d9d/sensors-23-05840-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/8a787b811d2b/sensors-23-05840-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/bcf728a0934e/sensors-23-05840-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/4125cb9f5065/sensors-23-05840-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/f443ab5462f2/sensors-23-05840-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/5a4642fd187a/sensors-23-05840-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/bbcd461533b7/sensors-23-05840-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/9abe3ef5085f/sensors-23-05840-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/0edca1078562/sensors-23-05840-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/0660930dfc34/sensors-23-05840-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/68b66b311a7a/sensors-23-05840-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/100983754f69/sensors-23-05840-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/56f36774d538/sensors-23-05840-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/8d7b995df668/sensors-23-05840-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/426c364eb733/sensors-23-05840-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/d7d2db0254fb/sensors-23-05840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/79fd53d8bd77/sensors-23-05840-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/213e9102ed8b/sensors-23-05840-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/3c20dca32606/sensors-23-05840-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/64ef3d252d9d/sensors-23-05840-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/8a787b811d2b/sensors-23-05840-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/bcf728a0934e/sensors-23-05840-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/4125cb9f5065/sensors-23-05840-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/f443ab5462f2/sensors-23-05840-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/5a4642fd187a/sensors-23-05840-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/bbcd461533b7/sensors-23-05840-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/9abe3ef5085f/sensors-23-05840-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/0edca1078562/sensors-23-05840-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/0660930dfc34/sensors-23-05840-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/68b66b311a7a/sensors-23-05840-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/100983754f69/sensors-23-05840-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/56f36774d538/sensors-23-05840-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/8d7b995df668/sensors-23-05840-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd0/10346942/426c364eb733/sensors-23-05840-g019.jpg

相似文献

1
Mechatronic Design and Experimental Research of an Automated Photogrammetry-Based Human Body Scanner.基于自动化摄影测量的人体扫描仪的机电设计与实验研究。
Sensors (Basel). 2023 Jun 23;23(13):5840. doi: 10.3390/s23135840.
2
Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique.体扫描仪的几何参数对摄影测量技术重建人体精度的影响分析。
Sensors (Basel). 2022 Nov 25;22(23):9181. doi: 10.3390/s22239181.
3
Automated landmark extraction for orthodontic measurement of faces using the 3-camera photogrammetry methodology.使用三相机摄影测量法进行面部正畸测量的自动地标提取。
J Craniofac Surg. 2010 Jan;21(1):87-93. doi: 10.1097/SCS.0b013e3181c3ba74.
4
Technical note: 3D from standard digital photography of human crania-a preliminary assessment.技术说明：人体颅骨标准数字摄影的 3D 效果——初步评估。
Am J Phys Anthropol. 2014 May;154(1):152-8. doi: 10.1002/ajpa.22468. Epub 2014 Jan 13.
5
A consistent methodology for forensic photogrammetry scanning of human remains using a single handheld DSLR camera.一种使用单台手持数码单反相机对人体遗骸进行法医摄影测量扫描的一致方法。
Forensic Sci Res. 2023 Sep 28;8(4):295-307. doi: 10.1093/fsr/owad036. eCollection 2023 Dec.
6
Evaluation of 3D Measuring Methods for Body Surface Damage and Scars.体表损伤和瘢痕的三维测量方法评估
Fa Yi Xue Za Zhi. 2020 Apr;36(2):204-209. doi: 10.12116/j.issn.1004-5619.2020.02.011.
7
Three-dimensional surface scanning methods in osteology: A topographical and geometric morphometric comparison.骨骼学中的三维表面扫描方法：地形学和几何形态测量学的比较。
Am J Phys Anthropol. 2021 Apr;174(4):846-858. doi: 10.1002/ajpa.24204. Epub 2021 Jan 7.
8
A continuous surface reconstruction method on point cloud captured from a 3D surface photogrammetry system.一种针对从三维表面摄影测量系统捕获的点云的连续表面重建方法。
Med Phys. 2015 Nov;42(11):6564-71. doi: 10.1118/1.4933196.
9
Foundations and guidelines for high-quality three-dimensional models using photogrammetry: A technical note on the future of neuroanatomy education.使用摄影测量法创建高质量三维模型的基础与指南：关于神经解剖学教育未来的技术说明
Anat Sci Educ. 2023 Sep-Oct;16(5):870-883. doi: 10.1002/ase.2274. Epub 2023 Apr 13.
10
A case study on the historical peninsula of Istanbul based on three-dimensional modeling by using photogrammetry and terrestrial laser scanning.基于摄影测量和地面激光扫描的三维建模对伊斯坦布尔历史半岛的案例研究。
Environ Monit Assess. 2010 Jun;165(1-4):595-601. doi: 10.1007/s10661-009-0971-0. Epub 2009 May 29.

本文引用的文献

1
Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique.体扫描仪的几何参数对摄影测量技术重建人体精度的影响分析。
Sensors (Basel). 2022 Nov 25;22(23):9181. doi: 10.3390/s22239181.
2
Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction.结合摄影测量与光度立体视觉以实现精确且完整的三维重建。
Sensors (Basel). 2022 Oct 25;22(21):8172. doi: 10.3390/s22218172.
3
Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review.
能否通过摄影测量量化与衰老相关的姿势变化？系统评价。
Sensors (Basel). 2022 Sep 2;22(17):6640. doi: 10.3390/s22176640.
4
ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications.ARACAM：一种用于下肢 3D 重建应用的 RGB-D 多视图摄影测量系统。
Sensors (Basel). 2022 Mar 22;22(7):2443. doi: 10.3390/s22072443.
5
Beyond the visible spectrum - applying 3D multispectral full-body imaging to the VirtoScan system.超越可见光谱 - 将 3D 多光谱全身成像应用于 VirtoScan 系统。
Forensic Sci Med Pathol. 2021 Dec;17(4):565-576. doi: 10.1007/s12024-021-00420-x. Epub 2021 Sep 17.
6
A Fast and Low-Cost Human Body 3D Scanner Using 100 Cameras.一种使用100台相机的快速低成本人体3D扫描仪。
J Imaging. 2020 Apr 9;6(4):21. doi: 10.3390/jimaging6040021.
7
Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.身体扫描仪与人体测量法测量体型的比较：系统综述。
Int J Environ Res Public Health. 2021 Jun 8;18(12):6213. doi: 10.3390/ijerph18126213.
8
A Noninvasive 3D Body Scanner and Software Tool towards Analysis of Scoliosis.一种用于分析脊柱侧凸的无创 3D 人体扫描仪和软件工具。
Biomed Res Int. 2019 May 9;2019:4715720. doi: 10.1155/2019/4715720. eCollection 2019.
9
Which Tool Is Best: 3D Scanning or Photogrammetry - It Depends on the Task.哪种工具更好：3D 扫描还是摄影测量——这取决于任务。
Adv Exp Med Biol. 2019;1120:107-119. doi: 10.1007/978-3-030-06070-1_9.
10
Photogrammetry of Human Specimens: An Innovation in Anatomy Education.人体标本摄影测量法：解剖学教育中的一项创新。
J Med Educ Curric Dev. 2018 Sep 17;5:2382120518799356. doi: 10.1177/2382120518799356. eCollection 2018 Jan-Dec.