3D Human Body Data Acquisition and Fit Evaluation of Clothing

Wang, Zhen; Zhong, Yan; Chen, Kai‐Jie; Ruan, Jia Yi; Zhu, Jin

doi:10.4028/www.scientific.net/amr.989-994.4161

Cited by 10 publications

(13 citation statements)

References 1 publication

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“…The default automatic body dimensions that can be obtained with the automatic measurement extraction software from the 3D scanner reflect the fact that this system was mainly developed for the clothing industry (27,28). Many of the predefined measurements are similar to the ones that would be obtained by a tailor's measuring tape, such as, waist height or hip circumference.…”

Section: Data Collectionmentioning

confidence: 99%

Validation study of a Kinect based body imaging system

Bragança

Arezes

Carvalho

et al. 2017

WOR

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Section: Data Collectionmentioning

confidence: 99%

Validation study of a Kinect based body imaging system

Bragança

Arezes

Carvalho

et al. 2017

WOR

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“…types with the grading value 4 cm in this way, cm: Y (-3--8), A (-3-13), AB (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), and B (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17).…”

Section: Introductionmentioning

confidence: 99%

“…The method of the female torso classification in Germany [17] resembles the Japanese methods. The height is divided into three categories: 160 cm, 168 cm, and 176 cm, then the three heights are matched with all the bust girths and the body with moderate hip girth is regarded as the standard size.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Naglic et al [10] researched the parametric and scanned body models by using the 3D simulation method, and analyzed the fit of the designed prototypes in static and dynamic body postures. Wang [17] presented the method of 3D human body data acquisition based on 3D scanning and the non-contact fit evaluation of clothing based on the distribution features of residual space between the clothing and the human body. J. Zhang et al [19] used the 3D images, horizontal crosssections taken from scanned bodies and jackets to produce an upper garment model for 3D and 2D patterns by means of ease allowances.…”

Section: Introductionmentioning

confidence: 99%

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Development of Female Torso Classification and Method of Patterns Shaping

Kuzmichev

Tian

2018

Autex Research Journal

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Our study presents a new pattern-making approach that is composed of three major steps: to establish the new torso classification; to improve the pattern shaping method; to solve the problem of misfit of female dresses. New additional measurements were obtained from full bust, waist and hip circumferences and divided between front and back parts separately from 3D body scanning data. By creating 8 new torso subtypes Y1, Y2, A1, A2, B1, B2, C1, and C2, which reflect the body characteristics and torso morphology through distribution of bust girth between the front and the back, we have developed the Chinese female torso classification. On the basis of the new classification and the Japanese method of pattern block drafting, we improved the method of calculation of waist darts and the shaping of two kinds of female dresses: first kind doesn’t have the horizontal waist seam (one-piece dress) and second kind has the waist horizontal seam (two-pieces dress containing from the top and the skirt). The new torso subtypes and new pattern block shaping approach are taken into attention as the body characteristics will significantly improve the quality of clothes. New method of pattern pieces shaping in according with the characteristic features of a 3D virtual avatar allows to integrate this virtual pattern-generating approach into the pattern-making systems.

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“…al. [6] proposed a non-contact 3D body data acquisition method for garment fit evaluation the distribution characteristics of the remaining space between the 3D scanning and clothing. The researches [7][8][9][10] used 3D non-contact measurement method to analyze body shape.…”

Section: Introductionmentioning

confidence: 99%

A 2D-3D non-contact anthropometric method for daily dressing state-takes young Asian women as example

Sun¹,

Chiu²,

Chen³

et al. 2017

J. meas. eng.

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Abstract. Taking young Asian women as research object, this paper is to develop a 2D-3D non-contact body measurement and calculation method for daily dressing state used to generate the CWH (chest, waist, and hip) circumferences suitable for garment practical applications. The general research approach is 'analyzing related curves of human body, finding their fitting functions and length calculating formulas through mathematical analysis and measuring experiment with large number of samples -extracting effective feature points data in daily dressing state by dynamic and static experiments -calculating such dimensions as width and thickness after curve fitting -generating CWH circumferences via formulas and making comparison'. The numerical results validate the 2D-3D method presented in this paper as a useful and effective approach. Being different from other 3D non-contact measuring methods, the authors provide a new way to get the CWH measurements in the condition of daily natural dressing, which not only optimizes the non-contact anthropometrics theory, but also breaks the static measuring mode. Furthermore, the bringing forth of the concept of 'daily dressing state' and the laboratory experiments of this paper would be worthy for practical use.

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3D Human Body Data Acquisition and Fit Evaluation of Clothing

Cited by 10 publications

References 1 publication

Validation study of a Kinect based body imaging system

Validation study of a Kinect based body imaging system

Development of Female Torso Classification and Method of Patterns Shaping

A 2D-3D non-contact anthropometric method for daily dressing state-takes young Asian women as example

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