The role of 3D measurement technology and anthropometric data for improved garment fit and sustainable manufacturing

Scott, Emma L.

doi:10.1016/b978-0-12-823969-8.00002-2

Cited by 4 publications

(5 citation statements)

References 29 publications

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“…Comparison with previous studies gives the following advantages of the proposed method: Possibility of using cheap Kinect devices instead of expensive ones for 3D scanning purposes is proved, whereas in previous studies [1,2,9] expensive 3D scanning methods are used. Additional dimensional characteristics, which can be determined using 3D scanning, allow to achieve a greater level of proportionality of clothing in places of complex geometry.…”

Section: Discussionmentioning

confidence: 88%

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Formation of Complex 3d Surfaces Scans for Garment Cad

Riabchykov,

Mytsa,

Bondarenko

et al. 2023

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Algorithms for building scans of complex surfaces of the human body based on three-dimensional measurements were founded. A mathematical model of the surface was developed, followed by the definition of triangulation parameters. The accuracy of building sweeps followed by pattern making depends on the direction and number of geometric elements. The obtained data should be used to improve garment CAD for pattern making for individual consumers.

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Section: Discussionmentioning

confidence: 88%

“…The value of three-dimensional technologies for the garment pattern making is considered in [1]. This work is an overview and needs further detailing.…”

Section: Introductionmentioning

confidence: 99%

Formation of Complex 3d Surfaces Scans for Garment Cad

Riabchykov,

Mytsa,

Bondarenko

et al. 2023

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“…The following section offers a summary for the proposed practice; to evolve traditional L&M practice to be better suited for digital workflows while working within highly established apparel practices. The suggested practice combines Clone Block™ landmarking and measuring [24][25][26] with ISO standards [17][18][19][20]. Discussion here focusses on the regions significant to general apparel practice: shoulder, torso, arm, and leg body.…”

Section: Resultsmentioning

confidence: 99%

Landmarking for Improved Digital Product Creation

Scott¹,

Schildmeyer²,

Ruderman³

et al. 2023

cdatp

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Sampling is a critical step in the concept-to-style workflow for digitally created products. Virtual environments allow sampling without the costs associated with physical prototyping However, current practice often still requires physical prototyping. Here we consider how landmarking contributes to the need for iterative sampling, thereby inhibiting a fully digital product creation DPC process. In the process, the opportunity for error within traditional anthropometric study is highlighted and a path toward global standardized landmarking and measuring (L&M) is presented. Landmarks denote anatomical reference points common to all humans. They are critical to every stage of DPC: measuring, product development, virtual sampling, rigging, size selection, and try-on. Cross-platform use of humanoids (models of humans) and body-worn products will introduce errors if landmarking protocols do not align across three-dimensional body processing (3DBP) technologies. Here we discuss how to avoid these discrepancies by combining Clone Block™ theory with current ISO standards. Further study should validate the findings here for the implementation of global standardized L&M to facilitate 3D technology interoperability, fully DPC, and greater adoption of 3D technologies for improved fit of body-worn products.

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“…[37] Machine learning has much to offer toward assessing fit preference but to effect fit at the coveroid level we must now use the above formulas for ease to translate fit preference to geometric definition. [38] Further study must then consider the degree to which changes to fit preference may compromise product integrity. For example, if a consumer prefers a stretch pant with less ease than advised, should the MTM fit preference order be fulfilled?…”

Section: Discussionmentioning

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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The role of 3D measurement technology and anthropometric data for improved garment fit and sustainable manufacturing

Cited by 4 publications

References 29 publications

Formation of Complex 3d Surfaces Scans for Garment Cad

Formation of Complex 3d Surfaces Scans for Garment Cad

Landmarking for Improved Digital Product Creation

Fit Validation and Assessment Through Block Comparison

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