3D body scanning

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A 3D selfie in 1:20 scale printed by Shapeways using gypsum-based printing, from models reconstructed by Madurodam from 2D pictures of patrons taken at its Fantasitron photo booth. Madurodam Shapeways 3D selfie in 1 20 scale after a second spray of varnish FRD.jpg
A 3D selfie in 1:20 scale printed by Shapeways using gypsum-based printing, from models reconstructed by Madurodam from 2D pictures of patrons taken at its Fantasitron photo booth.
Fantasitron 3D photo booth at Madurodam Fantasitron photo booth at Madurodam can scan up to two people at a time IMG 3797 FRD.jpg
Fantasitron 3D photo booth at Madurodam

3D body scanning is an application [1] of various technologies such as structured-light 3D scanner, 3D depth sensing, stereoscopic vision and others for ergonomic and anthropometric investigation of the human form as a point-cloud. The technology and practice within research has found 3D body scanning measurement extraction methodologies to be comparable to traditional anthropometric measurement techniques. [2] [3]

Contents

Applications

While the technology is still developing[ when? ] in its application, the technology has regularly been applied [4] in the areas of:

However, despite the potential for the technology to have an impact in made-to-measure and mass customisation of items with ergonomic properties, 3D body scanning has yet to reach an early adopter or early majority stage of innovation diffusion. This in part due to the lack of ergonomic theory relating to how to identify key landmarks on the body morphology. [8] [9] The suitability of 3D body scanning is also context dependent as the measurements taken [10] and the precision of the machine [11] are highly relative to the task in hand rather than being an absolute. Additionally, a key limitation of 3D body scanning has been the upfront cost of the equipment and the required skills by which to collect data and apply it to scientific and technical fields. However, the utilization of depth cameras on recent smartphones helps reduce the cost of 3D scans. One example of this is the recent free face scan app available on the Apple App Store. [12] For detailed investigation of the changes of the body dimensions a high speed (4D) scanning systems were developed by 3dMD and Instituto de Biomemechanics de Valencia (IBV). Scanning of moving humans with clothing at high resolution (usually 10–60 Hz) is technically possible, as reported multiple times by Chris Lane, Alfredo Ballester and Yordan Kyosev, [13] [14] but the analysis and application of this data seems to be challenging. [14] Main worldwide events for scientific exchange in the area of 3D and 4D body scanning are the annual 3DBody.Tech Conference and Clothing-Body-Interaction conference [15]

Scanning protocol

Although the process has been established for a considerable amount of time with international conferences held annually for industry and academics (e.g. the International Conference and Exhibition on 3D Body Scanning Technologies), the protocol and process of how to scan individuals is yet to be universally formalised. [16] However, earlier research [17] has proposed a standardised protocol of body scanning based on research and practice that demonstrates how non-standardised protocol and posture significantly influences body measurements; [18] including the hip. [19]

The standard scanning protocol, however, produces no measurements that fail to meet the precision of manual measurement methods or ISO 20685:2010 [20] tolerances. But through consecutive scanning and a free algorithm called GRYPHON, [21] 97.5% of measurements meet ISO 20685:2010; a precision increase of 327%. [22]

See also

Related Research Articles

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.

<span class="mw-page-title-main">Lidar</span> Method of spatial measurement using laser

Lidar is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver. Lidar may operate in a fixed direction or it may scan multiple directions, in which case it is known as lidar scanning or 3D laser scanning, a special combination of 3-D scanning and laser scanning. Lidar has terrestrial, airborne, and mobile applications.

<span class="mw-page-title-main">CT scan</span> Medical imaging procedure using X-rays to produce cross-sectional images

A computed tomography scan is a medical imaging technique used to obtain detailed internal images of the body. The personnel that perform CT scans are called radiographers or radiology technologists.

Mass customization makes use of flexible computer-aided systems to produce custom products. Such systems combine the low unit costs of mass production processes with the flexibility of individual customization.

<span class="mw-page-title-main">Image scanner</span> Device that optically scans images, printed text

An image scanner—often abbreviated to just scanner—is a device that optically scans images, printed text, handwriting or an object and converts it to a digital image. Commonly used in offices are variations of the desktop flatbed scanner where the document is placed on a glass window for scanning. Hand-held scanners, where the device is moved by hand, have evolved from text scanning "wands" to 3D scanners used for industrial design, reverse engineering, test and measurement, orthotics, gaming and other applications. Mechanically driven scanners that move the document are typically used for large-format documents, where a flatbed design would be impractical.

<span class="mw-page-title-main">Anthropometry</span> Measurement of the human individual

Anthropometry refers to the measurement of the human individual. An early tool of physical anthropology, it has been used for identification, for the purposes of understanding human physical variation, in paleoanthropology and in various attempts to correlate physical with racial and psychological traits. Anthropometry involves the systematic measurement of the physical properties of the human body, primarily dimensional descriptors of body size and shape. Since commonly used methods and approaches in analysing living standards were not helpful enough, the anthropometric history became very useful for historians in answering questions that interested them.

<span class="mw-page-title-main">Waist</span> Part of the abdomen between the rib cage and hips

The waist is the part of the abdomen between the rib cage and hips. Normally, the waist is the narrowest part of the torso.

<span class="mw-page-title-main">3D scanning</span> Scanning of an object or environment to collect data on its shape

3D scanning is the process of analyzing a real-world object or environment to collect three dimensional data of its shape and possibly its appearance. The collected data can then be used to construct digital 3D models.

<span class="mw-page-title-main">Quantitative computed tomography</span>

Quantitative computed tomography (QCT) is a medical technique that measures bone mineral density (BMD) using a standard X-ray computed tomography (CT) scanner with a calibration standard to convert Hounsfield units (HU) of the CT image to bone mineral density values. Quantitative CT scans are primarily used to evaluate bone mineral density at the lumbar spine and hip.

<span class="mw-page-title-main">3D ultrasound</span> Rendering technique in medical imaging

3D ultrasound is a medical ultrasound technique, often used in fetal, cardiac, trans-rectal and intra-vascular applications. 3D ultrasound refers specifically to the volume rendering of ultrasound data. When involving a series of 3D volumes collected over time, it can also be referred to as 4D ultrasound or real-time 3D ultrasound.

<span class="mw-page-title-main">Full body scanner</span> Device which detects objects in or around a persons body

A full-body scanner is a device that detects objects on or inside a person's body for security screening purposes, without physically removing clothes or making physical contact. Unlike metal detectors, full-body scanners can detect non-metal objects, which became an increasing concern after various airliner bombing attempts in the 2000s. Some scanners can also detect swallowed items or items hidden in the body cavities of a person. Starting in 2007, full-body scanners started supplementing metal detectors at airports and train stations in many countries.

A structured-light 3D scanner is a 3D scanning device for measuring the three-dimensional shape of an object using projected light patterns and a camera system.

<span class="mw-page-title-main">Clothing technology</span> Technology involving the manufacturing and innovation of clothing materials

Clothing technology describes advances in production methods, material developments, and the incorporation of smart technologies into textiles and clothes. The clothing industry has expanded throughout time, reflecting advances not just in apparel manufacturing and distribution, but also in textile functionality and environmental effect. The timeline of clothing and textiles technology includes major changes in the manufacture and distribution of clothing.

<span class="mw-page-title-main">Finger tracking</span> High-resolution technique in gesture recognition and image processing

In the field of gesture recognition and image processing, finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D. In addition to that, the finger tracking technique is used as a tool of the computer, acting as an external device in our computer, similar to a keyboard and a mouse.

<span class="mw-page-title-main">Virtual dressing room</span> Online equivalent of in-store changing room

A virtual dressing room is the online equivalent of an in-store changing room.

<span class="mw-page-title-main">3D modeling</span> Form of computer-aided engineering

In 3D computer graphics, 3D modeling is the process of developing a mathematical coordinate-based representation of a surface of an object in three dimensions via specialized software by manipulating edges, vertices, and polygons in a simulated 3D space.

<span class="mw-page-title-main">Body Labs</span>

Body Labs is a Manhattan-based software company founded in 2013. Body Labs is a software provider of human-aware artificial intelligence that understands the 3D body shape and motion of people from RGB photos or videos.

<span class="mw-page-title-main">GigaMesh Software Framework</span> Software framework for processing and analyzing 3D mesh data

The GigaMesh Software Framework is a free and open-source software for display, editing and visualization of 3D-data typically acquired with structured light or structure from motion.

Yordan Kyosev is a German scientist and professor of Bulgarian origin, working in the area of textile and clothing technologies and machines. His book Braiding Technology for Textiles (2014) is an important source for learning industrial braiding, and in 2017 received a book prize from Hochschule Niederrhein, Mönchengladbach, Germany. Kyosev has developed software packages for 3D modeling braided structures, braiding machines and warp knitted structures. The algorithms for the software are documented in Kyosev's book Topology-Based Modeling of Textile Structures and Their Joint Assemblies (2019)

4DMedical is a medical technology company, based in Australia and the United States.

References

  1. Parker, C.J., Gill, S. and Hayes, S.G. (2017), "3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction", in D’Apuzzo, N. (Ed.), Proceedings of 3DBODY.TECH 2017 – 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11–12 Oct. 2017, Hometrica Consulting – Dr. Nicola D’Apuzzo, Ascona, Switzerland, pp. 298–305.
  2. Simmons, K.P. and Istook, C.L. (2003), 'Body measurement techniques: Comparing 3D body‐scanning and anthropometric methods for apparel applications Archived 28 September 2018 at the Wayback Machine ', Journal of Fashion Marketing and Management: An International Journal, MCB UP Ltd, Vol. 7 No. 3, pp. 306–332.
  3. Bougourd, J.P., Dekker, L., Grant Ross, P. and Ward, J.P. (2000), 'A Comparison of Women's Sizing by 3D Electronic Scanning and Traditional Anthropometry', Journal of The Textile Institute, Vol. 91 No. 2, pp. 163–173.
  4. "List of Papers - 3DBST 2016". www.3dbodyscanning.org. Archived from the original on 3 February 2017. Retrieved 2 February 2017.
  5. Crist, Ry. "The Naked Labs smart mirror scanned our nearly naked bodies and we don't know what to think". CNET. Archived from the original on 26 January 2021. Retrieved 16 September 2021.
  6. Stewart, A., Ledingham, R. and Williams, H. (2017), 'Variability in body size and shape of UK offshore workers: A cluster analysis approach', Applied Ergonomics, Vol. 58 No. 1, pp. 265–272.
  7. Choi, S. and Ashdown, S.P. (2011), '3D body scan analysis of dimensional change in lower body measurements for active body positions', Textile Research Journal, Vol. 81 No. 1, pp. 81–93.
  8. Gill, S. (2015), "A review of research and innovation in garment sizing, prototyping and fitting", Textile Progress, Vol. 47 No. 1, pp. 1–85.
  9. Gill, S.; Parker, C. J.; Hayes, S.; Wren, P.; and Panchenko, A. (2014). "The True Height of the Waist: Explorations of automated body scanner waist definitions of the TC2 scanner" Archived 28 September 2018 at the Wayback Machine , 5th International Conference and Exhibition on 3D Body Scanning Technologies, Hometrica Consulting, Lugano, Switzerland, pp. 55–65.
  10. Gill, Simeon; Ahmed, Maryam; Parker, Christopher J.; Hayes, Steven G. (2017). "Not All Body Scanning Measurements Are Valid: Perspectives from Pattern Practice". Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017. pp. 43–52. doi:10.15221/17.043. ISBN   9783033064362.{{cite book}}: |journal= ignored (help)
  11. Parker, Christopher J.; Gill, Simeon; Hayes, Steven G. (2017). "3D Body Scanning has Suitable Reliability: An Anthropometric Investigation for Garment Construction". Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017. pp. 298–305. doi:10.15221/17.298. ISBN   9783033064362. Archived from the original on 30 April 2018. Retrieved 30 April 2018.{{cite book}}: |journal= ignored (help)
  12. "3D Face Scanner iOS App Collecting Data for Research"
  13. Kuehn, Tino; Kyosev, Yordan (19 October 2021). 4D Scanning of Clothed Humans - Preliminary Results. doi:10.15221/21.25. ISBN   978-3-033-08853-5. S2CID   245761193.
  14. 1 2 Kyosev, Yordan; Tomanova, Vanda; Schmidt, Ann-Malin (25 October 2022). "Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning". Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 October 2022. Lugano, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo. doi: 10.15221/22.24 . ISBN   978-3-033-09520-5. S2CID   252706138.
  15. O'Mahony, Marie (9 September 2021). "The dynamic relation between humans and clothing". Innovation in Textiles. Retrieved 21 January 2023.
  16. Chi, L. and Kennon, R. (2006), 'Body scanning of dynamic posture', International Journal of Clothing Science and Technology, Vol. 18 No. 3, pp. 166–178.
  17. Gill, Simeon; Hayes, S; Parker, Christopher J. (2016). "3D Body Scanning: Towards Shared Protocols for Data Collection- Addressing the needs of the body scanning community for ensuring comparable data collection". Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation (PDF). pp. 281–284. doi:10.2991/iwama-16.2016.53. ISBN   978-94-6252-243-5. Archived (PDF) from the original on 7 November 2017. Retrieved 5 November 2017.
  18. Mckinnon, L. and Istook, C. L. (2002), "Body scanning: The effects of subject respiration and foot positioning on the data integrity of scanned measurements", Journal of Fashion Marketing and Management, Vol. 6 No. 2, pp. 103–121.
  19. Gill, Simeon; Parker, Christopher J. (2017). "Scan posture definition and hip girth measurement: the impact on clothing design and body scanning". Ergonomics. 60 (8): 1123–1136. doi:10.1080/00140139.2016.1251621. PMID   27764997. S2CID   23758581. Archived from the original on 22 October 2020. Retrieved 16 September 2021.
  20. ISO 20685:2010
  21. UoMResearchIT/Gryphon, Research IT, University of Manchester, UK, 21 October 2020, archived from the original on 2 July 2021, retrieved 19 May 2021
  22. Parker, Christopher J.; Gill, Simeon; Harwood, Adrian; Hayes, Steven G.; Ahmed, Maryam (19 May 2021). "A Method for Increasing 3D Body Scanning's Precision: Gryphon and Consecutive Scanning". Ergonomics. 65 (1): 39–59. doi: 10.1080/00140139.2021.1931473 . ISSN   0014-0139. PMID   34006206.
  23. Kyosev, Yordan; Tomanova, Vanda; Schmidt, Ann-Malin (25 October 2022). "Method for Automatic Analysis of the Clothing Related Body Dimension Changes During Motion Using High-Speed (4D) Body Scanning". Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 October 2022. Lugano, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo. doi: 10.15221/22.24 . ISBN   978-3-033-09520-5. S2CID   252706138.