A method for increasing 3D body scanning’s precision: Gryphon and consecutive scanning

Parker, Christopher J.; Gill, Simeon; Harwood, Adrian; Hayes, Steve; Ahmed, Maryam

doi:10.1080/00140139.2021.1931473

Cited by 6 publications

(4 citation statements)

References 42 publications

(55 reference statements)

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“…The averaging of consecutive scans (several moments in time) has proven effective for better capturing human morphology. [21] Perhaps such practice adapted for consecutive scans over a month could better capture averaged morphology from week to week? It may well be that statistical generation of human morphology achieves an equivalent averaged 'over time' body-shape.…”

Section: Scanning Errormentioning

confidence: 99%

Fit Validation and Assessment Through Block Comparison

SCOTT¹

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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On-demand manufacturing is integral to sustainable practices, but product returns must be avoided to reduce waste and maximize revenue streams. With garment fit being a driving cause of returns, concerted technological engagement has been directed at acquisition of data defining apparel fit. (e.g., radial ease, compression ease, fit preference, body-shape, fit mapping, etc.) Such data has somewhat improved size selection algorithms but shed little insight on quantifying fit at the garment pattern level. For example, while a flattened 3D body mesh effectively reveals the body as 2D geometry, it offers little toward the developable garment pattern as it lacks relevance to established principles of dart manipulation and pattern-making theory. This paper discusses how a 'block comparison' approach to fit assessment better translates body data to linear dimensions suitable for both changing fit at the pattern level and improving fit prediction algorithms. Discussion will elaborate how body-blocks define 3D human morphology at the garment pattern level to establish practice for quantified fit theory while supporting traditional apparel pattern practice. The change management required for fit validation (the digital asset as tech pack) lays the foundation for automated mass customization, not as the once considered singular solution, but as a scope of solutions ranging from ready-to-wear (RTW) to bespoke. Not as the once considered singular solution, but as a scope of solutions ranging from ready-to-wear (RTW), to bespoke. With sustainable garment production being a key factor in mitigating climate change, fit validation to reduce garment returns (increasing the profitability of on-demand manufacturing) is a logical next step. In this environment, both customer and brand fit preference may align or differ without imposing on the other. From here we must consider that perhaps Industry 4.0 is better embraced with a full suite of fit intent offerings, where the change management required for RTW fit validation (digital tech packs) sets the foundation for automated mass customization, not as the once considered singular solution, but as a scope of solutions ranging from ready-to-wear (RTW), to bespoke. In this environment, both customer and brand fit preference may align or differ without imposing on the other.

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Section: Scanning Errormentioning

confidence: 99%

Fit Validation and Assessment Through Block Comparison

SCOTT¹

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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“…[4] earlier, tried to utilise LiDAR systems for the reconstruction of a dressed mannequin. Since, however, the fashion industry cannot use this technology to create custom garment patterns [5], several researchers focus on different matters around it to advance and expand its use. [6] focused on measuring the compression of garments like a seamless knitted sports bra, whereas [7] studied how shapewear changes the body shape and attractiveness.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of 3D Body Scans from Mobile App via Virtual and Physical Try-On Garments

PAPACHRISTOU¹,

KALAINTZI²,

BILALIS³

2022

Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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This paper evaluates the accuracy of mobile 3D scanning technology in regards to exported anthropometric data and 3D body mesh, when comparing the virtual try-on of a bodice with the fit on the same physical body. Fashion students during their subjects of Virtual Prototype and 2D Pattern Design Systems, divided in groups, used Mobile Fit app by SizeStream to provide a 3D representation of a body of their choice. They used the extracted obj file into CLO3D as an avatar. With the extracted anthropometric measurements the students developed a basic bodice in Polypattern 8.4v2 22 Cad pattern design system. The exported dxf files of the basic bodices were imported in the 3d environment to virtual dress the scanned body/avatar. At the same time, the physical bodice was constructed by each team and dressed on the same scanned body. Evaluation of fit was conducted comparing the two methods. Authors state the pros and cons of the complete digital method.

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“…In many developed countries, the indirect measurement of the human body from the 3D scanner method is commonly used. There are many studies on the extraction of measurements from 3D body scanners in the textile field (4)(5)(6)(7)(8). Regarding the study of shape analysis, the author has compiled many references to make statistics on common shapes.…”

Section: Introductionmentioning

confidence: 99%

The design, simulation, and adjustment of the Vietnam men’s Ao dai on the CLO3D software

Nguyen,

Nguyen

2022

BIJSCIT

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The study presents the results of the design, simulation, and adjustment of middle-aged men’s Ao Dai from 30 to 60 years old in Ho Chi Minh City. This research combines two methods of 2D design on the Gerber software and 3D design on the CLO3D software, of which the main simulated patterns’ material is cotton sateen fabric. An avatar is used to simulate men’s Ao Dai which has the average measurements of the 378 measurement samples. There are three steps to simulate and edit. At first, the patterns are draped on the avatar. The sample does not achieve a smooth, flat fit in the side seam and waist area when they drape on the avatar. After patterns are adjusted at the side seam, finally, these patterns are draped again to meet the standard of smooth and flat appearance on the simulated model’s front, back, and side faces. The study was conducted on one model that has suitable dimensions for Vietnamese men, so there will be additional avatar data in the CLO3D software database. This is very useful for fashion and technique designers in garment businesses.

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A method for increasing 3D body scanning’s precision: Gryphon and consecutive scanning

Cited by 6 publications

References 42 publications

Fit Validation and Assessment Through Block Comparison

Fit Validation and Assessment Through Block Comparison

Evaluation of 3D Body Scans from Mobile App via Virtual and Physical Try-On Garments

The design, simulation, and adjustment of the Vietnam men’s Ao dai on the CLO3D software

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