{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:07:27Z","timestamp":1778810847636,"version":"3.51.4"},"reference-count":37,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["POIR.01.01.01-00-0861\/18"],"award-info":[{"award-number":["POIR.01.01.01-00-0861\/18"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This article concerns the research of the HUBO full-body scanner, which includes the analysis and selection of the scanner\u2019s geometrical parameters in order to obtain the highest possible accuracy of the reconstruction of a human figure. In the scanner version analyzed in this paper, smartphone cameras are used as sensors. In order to process the collected photos into a 3D model, the photogrammetry technique is applied. As part of the work, dependencies between the geometrical parameters of the scanner are derived, which allows to significantly reduce the number of degrees of freedom in the selection of its geometrical parameters. Based on these dependencies, a numerical analysis is carried out, as a result of which the initial values of the geometrical parameters are pre-selected and distribution of scanner cameras is visualized. As part of the experimental research, the influence of selected scanner parameters on the scanning accuracy is analyzed. For the experimental research, a specially prepared dummy was used instead of the participation of a real human, which allowed to ensure the constancy of the scanned object. The accuracy of the object reconstruction was assessed in relation to the reference 3D model obtained with a scanner of superior measurement uncertainty. On the basis of the conducted research, a method for the selection of the scanner\u2019s geometrical parameters was finally verified, leading to the arrangement of cameras around a human, which guarantees high accuracy of the reconstruction. Additionally, to quantify the results, the quality rates were used, taking into account not only the obtained measurement uncertainty of the scanner, but also the processing time and the resulting efficiency.<\/jats:p>","DOI":"10.3390\/s22239181","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T08:13:09Z","timestamp":1669623189000},"page":"9181","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["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"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0394-2015","authenticated-orcid":false,"given":"Maciej","family":"Trojnacki","sequence":"first","affiliation":[{"name":"EDUROCO sp. z o.o., ul. \u0141\u0105kowa 3\/5, 90-562 \u0141\u00f3d\u017a, Poland"}]},{"given":"Przemys\u0142aw","family":"D\u0105bek","sequence":"additional","affiliation":[{"name":"\u0141UKASIEWICZ Research Network\u2014Industrial Research Institute for Automation and Measurements PIAP, Al. Jerozolimskie 202, 02-486 Warsaw, Poland"}]},{"given":"Piotr","family":"Jaroszek","sequence":"additional","affiliation":[{"name":"EDUROCO sp. z o.o., ul. \u0141\u0105kowa 3\/5, 90-562 \u0141\u00f3d\u017a, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"67281","DOI":"10.1109\/ACCESS.2021.3076595","article-title":"A review of body measurement using 3D scanning","volume":"9","author":"Bartol","year":"2021","journal-title":"IEEE Access"},{"key":"ref_2","unstructured":"(2022, July 07). 3D Scanner Catalog\u2014Over 500 3D Scanners to Choose from. Available online: https:\/\/www.aniwaa.com\/catalog\/3d-scanners."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Matuzevi\u010dius, D., and Serackis, A. (2021). Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry. Appl. 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Contingency Effects of Virtual Fitting Rooms","volume":"36","author":"Yang","year":"2019","journal-title":"J. Manag. Inf. Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1080\/1091367X.2020.1751634","article-title":"Reliability and Minimal Detectable Change of the Styku 3D Body Scanner","volume":"24","author":"Silver","year":"2020","journal-title":"Meas. Phys. Educ. Exerc. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2382120518799356","DOI":"10.1177\/2382120518799356","article-title":"Photogrammetry of Human Specimens: An Innovation in Anatomy Education","volume":"5","author":"Petriceks","year":"2018","journal-title":"J. Med. Educ. Curric. Dev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Barreto, M.A., Perez-Gonzalez, J., Herr, H.M., and Huegel, J.C. (2022). ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications. Sensors, 22.","DOI":"10.3390\/s22072443"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Pojda, D., Tomaka, A.A., Luchowski, L., and Tarnawski, M. (2021). Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics. Sensors, 21.","DOI":"10.3390\/s21238026"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Dilian, O., Kimmel, R., Tezmah-Shahar, R., and Agmon, M. (2022). Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review. Sensors, 22.","DOI":"10.3390\/s22176640"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2","DOI":"10.33640\/2405-609X.1130","article-title":"Stereo Photogrammetry vs Computed Tomography for 3D Medical Measurements","volume":"5","author":"Hussien","year":"2019","journal-title":"Karbala Int. J. Mod. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1002\/ajpa.24109","article-title":"A critical assessment of the potential for Structure-from-Motion photogrammetry to produce high fidelity 3D dental models","volume":"173","author":"Silvester","year":"2020","journal-title":"Am. J. Phys. Anthr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"457","DOI":"10.21692\/haps.2019.016","article-title":"Method For Production of 3D interactive Models Using Photogrammetry For Use in Human Anatomy Education","volume":"23","author":"Burk","year":"2019","journal-title":"HAPS Educ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijcga.2020.10101","article-title":"Human Photogrammetry: Foundational Techniques for Creative Practitioners","volume":"10","author":"Boe","year":"2020","journal-title":"Int. J. Comput. Graph. Animat."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zeraatkar, M., and Khalili, K. (2020). A Fast and Low-Cost Human Body 3D Scanner Using 100 Cameras. J. Imaging, 6.","DOI":"10.3390\/jimaging6040021"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Kuehn, T., and Kyosev, Y. (2021, January 19\u201320). 4D Scanning of Clothed Humans\u2014Preliminary Results. Proceedings of the 12th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, 3DBODY.TECH 2021, Lugano, Switzerland.","DOI":"10.15221\/21.25"},{"key":"ref_19","first-page":"309","article-title":"A Methodology to Create 3D Body Models in Motion","volume":"Volume 1206","author":"Cassenti","year":"2020","journal-title":"Advances in Simulation and Digital Human Modeling"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Koval, A. (2020, January 17\u201318). Quantitative Comparison of Manual vs. 3D Scanner Human Body Measurements. Proceedings of the 11th Int. Conference and Exhibition on 3D Body Scanning and Processing Technologies, 3DBODY.TECH 2020, Online\/Virtual.","DOI":"10.15221\/20.35"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Rumbo-Rodriguez, L., Sanchez-SanSegundo, M., Ferrer-Cascales, R., Garcia-D\u2019Urso, N., Hurtado-Sanchez, J.A., and Zaragoza-Marti, A. (2021). Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18126213"},{"key":"ref_22","first-page":"130","article-title":"Investigation of usability and measurement accuracy of 3D body scanning mobile applications","volume":"1","author":"Strunevich","year":"2020","journal-title":"Commun. Dev. Assem. Text. Prod."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s12210-015-0381-x","article-title":"Where is photogrammetry heading to? State of the art and trends","volume":"26","author":"Forlani","year":"2015","journal-title":"Rend. Lincei"},{"key":"ref_24","unstructured":"Do, P.N.B., and Nguyen, Q.C. (2019, January 25\u201327). A Review of Stereo-Photogrammetry Method for 3-D Reconstruction. Proceedings of the 2019 19th International Symposium on Communications and Information Technologies (ISCIT), Ho Chi Minh City, Vietnam."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Karami, A., Menna, F., and Remondino, F. (2022). Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction. Sensors, 22.","DOI":"10.3390\/s22218172"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Alshawabkeh, Y., Baik, A., and Miky, Y. (2021). Integration of Laser Scanner and Photogrammetry for Heritage BIM Enhancement. ISPRS Int. J. Geo.-Inf., 10.","DOI":"10.3390\/ijgi10050316"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Kudela, P., Pal\u010d\u00e1k, M., Z\u00e1bovsk\u00e1, K., and Bu\u010dko, B. (October, January 28). Integration of photogrammetry within laser scanning approach. Proceedings of the 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia.","DOI":"10.23919\/MIPRO48935.2020.9245297"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"e2","DOI":"10.1016\/j.jofri.2017.11.003","article-title":"Forensic 3D documentation of bodies\u2014Combining CT scanning photogrammetry","volume":"12","author":"Villa","year":"2018","journal-title":"J. Forensic. Radiol. Imaging"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Labedz, P., Skabek, K., Ozimek, P., and Nytko, M. (2021). Histogram Adjustment of Images for Improving Photogrammetric Reconstruction. Sensors, 21.","DOI":"10.3390\/s21144654"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3745","DOI":"10.3390\/s90503745","article-title":"Performance Analysis of the SIFT Operator for Automatic Feature Extraction and Matching in Photogrammetric Applications","volume":"9","author":"Lingua","year":"2009","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Schonberger, J.L., and Frahm, J.-M. (2016, January 27\u201330). Structure-from-motion revisited. Proceedings of the IEEE conference on computer vision and pattern recognition, Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ladicky, L., Saurer, O., Jeong, S., Maninchedda, F., and Pollefeys, M. (2017, January 22\u201329). From Point Clouds to Mesh using Regression. Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy.","DOI":"10.1109\/ICCV.2017.420"},{"key":"ref_33","first-page":"e00157","article-title":"Comparative analysis of digital photogrammetry software for cultural heritage","volume":"18","author":"Kingsland","year":"2020","journal-title":"Digit. Appl. Archaeol. Cult. Herit."},{"key":"ref_34","unstructured":"(2022, July 07). AliceVision | Photogrammetric Computer Vision Framework. Available online: https:\/\/alicevision.org."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Setiyadi, S., Mukhtar, H., and Cahyadi, W.A. (2021, January 23\u201325). A Comparative Study of Affordable Photogrammetry Software for Reconstructing 3D Model of a Human Foot. Proceedings of the 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Bandung, Indonesia.","DOI":"10.1109\/ICSIMA50015.2021.9526314"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Guidi, G., Shafqat Malik, U., and Micoli, L.L. (2020). Optimal Lateral Displacement in Automatic Close-Range Photogrammetry. Sensors, 20.","DOI":"10.3390\/s20216280"},{"key":"ref_37","unstructured":"(2022, July 07). Evaluation of Measurement Data\u2014Guide to the Expression of Uncertainty in Measurement. Available online: https:\/\/www.bipm.org\/documents\/20126\/2071204\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9181\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:27:07Z","timestamp":1760146027000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9181"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,25]]},"references-count":37,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22239181"],"URL":"https:\/\/doi.org\/10.3390\/s22239181","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,25]]}}}