3D garment fit on solid and soft digital avatars – preliminary results

Brake, Elena; Kyosev, Yordan; Rose, Katerina

doi:10.25367/cdatp.2022.3.p97-103

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…The application of diverse athletic body movements was not very complicated using a combination work process of 3D body-scanned data, Adobe Mixamo and CLO 7.0. Also, 3D body scan data has been considered a useful tool in creating precise body figures reflected with the actual human body, and hence, several research experimented with virtual fit using 3D body scan data (Brake et al ., 2022; Choi and Hong, 2015; Lee et al ., 2015; Wu and Kuzmichev, 2021). However, the application of rigging animation in 3D body scan data caused different body shapes from actual moving bodies.…”

Section: Resultsmentioning

confidence: 99%

Accuracy and feasibility of 3D virtual dynamic fit technology

Kim,

Baytar

2024

IJCST

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PurposeThe research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit.Design/methodology/approachSix female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pressure measurements (kPa) were collected from 3D virtual animation, 3D fit scan data and actual photos with the four types of athletic motions. The data were comparatively investigated between virtual and actual dynamic fit.FindingsThe 3D-animated body was not reflected with human body deformation because only bone structure was changed while maintaining the constant forms of muscle and body surface in athletic movements. Due to this consistency of virtual dynamic fit, there were significant differences with the actual dynamic fit at the top length, shoulder width and waist cross-sectional areas. Also, the virtual dynamic pressure indicated significantly higher levels than the objective dynamic pressure while presenting no significant correlations at the front neckline, breast, lateral waist, upper back, back armhole and back waist.Originality/valueThis study is the first to verify multiple aspects of virtual dynamic fit using 3D digital technology. This study provided useful information about which aspects of the current virtual animation need to be improved to apply in the dynamic fit evaluation.

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Section: Resultsmentioning

confidence: 99%

Accuracy and feasibility of 3D virtual dynamic fit technology

Kim,

Baytar

2024

IJCST

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“…Sustainability initiatives, focused on reducing garment returns, are hampered by landmarking and measuring practice leading to the comparison of cross-sectional planes (size chart girths) at different skeletal heights. Further, with current study demonstrating the necessity for accurate humanoid soft body physics to achieve a realistic simulation of the humanoid-to-coveroid interaction [41], the need to begin with an accurate body model is paramount. The need for change within established apparel practice is urgent [10,55,56].…”

Section: Discussionmentioning

confidence: 99%

“…• 4D study and solving known challenges with polygon division for mesh segmentation on the homologous mesh [41]; • improving the accuracy of parametric humanoids that often display unrealistic body-shape [42];…”

Section: Discussionmentioning

confidence: 99%

“…The bone-to-mesh attachment point consists of a displacer connecting a joint or site to a point on the mesh referred to as a weight point. Weighting assigns soft physics properties to the humanoid surface (mesh), thereby defining the realism an animated humanoid will exhibit [41]. Points may be weighted from zero, indicating a surface is entirely malleable, to 100%, indicating the surface is hard.…”

Section: Derive Humanoid Rigging Landmarksmentioning

confidence: 99%

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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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“…First, investigations have shown that the distortions show angular and unnatural deformations under strong pressure. [7] 2. Soft Tissue…”

Section: Soft Avatars In Clothing Cadmentioning

confidence: 99%

Approach for Digitizing the Softness of Human Tissue for Implementation in 3D Soft Avatar Clothing Simulations

BRAKE,

DANNER,

KOSEL

et al. 2023

Proceedings of 3DBODY.TECH 2023 - 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Patterns are virtually simulated in 3D CAD programs before production to check the fit. However, achieving lifelike representations of human avatars, especially regarding soft tissue dynamics, remains challenging. This is mainly since conventional avatars in garment CAD programs are simulated with a continuous hard surface and not corresponding to the human physical and mechanical body properties of soft tissue. In the real world, the human body's natural shape is affected by the contact pressure of tight-fitting textiles. To verify the fit of a simulated garment, the interactions between the individual body shape and the garment must be considered. This paper introduces an innovative approach to digitising the softness of human tissue using 4D scanning technology. The primary objective of this research is to explore the interactions between tissue softness and different compression levels of apparel, exerting pressure on the tissue to capture the changes in the natural shape. Therefore, to generate data and model an avatar with soft body physics, it is essential to capture the deform ability and elasticity of the soft tissue and map it into the modification options for a simulation. To aim this, various methods from different fields were researched and compared to evaluate 4D scanning as the most suitable method for capturing tissue deformability in vivo. In particular, it should be considered that the human body has different deformation capabilities depending on age, the amount of muscle and body fat. In addition, different tissue zones have different mechanical properties, so it is essential to identify and classify them to back up these properties for the simulation. It has been shown that by digitising the obtained data of the different defined applied pressure levels, a prediction of the deformation of the tissue of the exact person becomes possible. As technology advances and data sets grow, this approach has the potential to reshape how we verify fit digitally with soft avatars and leverage their realistic soft tissue properties for various practical purposes.

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3D garment fit on solid and soft digital avatars – preliminary results

Cited by 5 publications

References 5 publications

Accuracy and feasibility of 3D virtual dynamic fit technology

Accuracy and feasibility of 3D virtual dynamic fit technology

Landmarking for Improved Digital Product Creation

Approach for Digitizing the Softness of Human Tissue for Implementation in 3D Soft Avatar Clothing Simulations

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