A new sizing system based on 3D shape descriptor for morphology clustering

Hamad, Moez; Thomassey, Sébastien; Bruniaux, Pascal

doi:10.1016/j.cie.2017.05.030

Cited by 25 publications

(11 citation statements)

References 26 publications

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“…3D imaging systems capture detailed and accurate external dimensions and shape characteristics of the human body. Measures acquired by these devices are used to describe, interpret and analyse the external dimensions of the human body for applications that include apparel sizing 16 , 17 and epidemiological surveys 9 , 11 , 18 , with the potential for clinical evaluation and health monitoring 11 , 19 , 20 . The point cloud data these systems produce contain all of the differential geometric properties of the body's surface.…”

Section: Introductionmentioning

confidence: 99%

“…The point cloud data these systems produce contain all of the differential geometric properties of the body's surface. These surface features could be used to characterise individuals according to their shape as well as their size, to a higher degree of precision and complexity than existing manual methods 9 , 17 . Previous studies have investigated the use of 3D imaging to create indices that measure human shape, for example, the health index (HI) 21 , the surface-based body shape index (SBSI) 22 and a Body Shape Index (ABSI) 23 .…”

Section: Introductionmentioning

confidence: 99%

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How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study

Thelwell

Chiu

Bullas

et al. 2020

Sci Rep

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Manual anthropometrics are used extensively in medical practice and epidemiological studies to assess an individual's health. However, traditional techniques reduce the complicated shape of human bodies to a series of simple size measurements and derived health indices, such as the body mass index (BMi), the waist-hip-ratio (WHR) and waist-by-height 0.5 ratio (WHT.5R). Three-dimensional (3D) imaging systems capture detailed and accurate measures of external human form and have the potential to surpass traditional measures in health applications. the aim of this study was to investigate how shape measurement can complement existing anthropometric techniques in the assessment of human form. Geometric morphometric methods and principal components analysis were used to extract independent, scale-invariant features of torso shape from 3D scans of 43 male participants. Linear regression analyses were conducted to determine whether novel shape measures can complement anthropometric indices when estimating waist skinfold thickness measures. Anthropometric indices currently used in practice explained up to 52.2% of variance in waist skinfold thickness, while a combined regression model using WHT.5R and shape measures explained 76.5% of variation. Measures of body shape provide additional information regarding external human form and can complement traditional measures currently used in anthropometric practice to estimate central adiposity. Measurements of size and shape of the human body are an important source of information for a range of scientific fields and applications. Traditional manual anthropometrics have been used extensively in medical practice and epidemiological studies to derive health risk indicators, since it has been suggested that human body shape is dependent on its underlying composition, including soft and skeletal tissues 1. Indices, such as the body mass index (BMI), waist girth and the waist-hip ratio (WHR) are used to assess variations in human body dimensions and physical health 2-4. Of these, BMI is most commonly used in current practice to determine the healthy weight range for individuals based on their height. However, BMI fails to distinguish between quantities of muscle and fat, which are of different density, and therefore is prone to misclassifying muscular individuals as being overweight or obese 5,6. Size measures, such as sagittal diameter, waist girth and WHT.5R have been found to demonstrate improved correlations with quantities of abdominal visceral fat and greater associations with metabolic disease risks compared to BMI 7,8. Relative measures, such as the WHR, provide information about the size of the abdomen relative to the rest of the body, so has been used as a proxy of torso shape and central obesity, defined as excess fat around the abdominal region 7. However, these relatively simple approaches to measuring external human form only utilise a small number of manual anthropometrics, which are prone to human error and limited by their simplicity, as they do not fully describe ...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study

Thelwell

Chiu

Bullas

et al. 2020

Sci Rep

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“…In the field of theoretical research, the body shape classification based on diverse analysis of human body parameters, such as the square ratio of cross-section's area and girth on BL, WL and HL [1] , and the descriptions of the differences of trunk longitudinal section [2] , supplied and refined the national standard body type classifications. Furthermore, the studies on the body local morphology subdivision [3][4] proposed diversified human body morphological parameters based on feature points, as well as the method of morphological information combination for representing the difference of body shape.…”

Section: Introductionmentioning

confidence: 99%

Structural feature factors extraction of upper body shape for young female

Ren

Jin

2021

E3S Web Conf.

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Human body shape feature points are the key information and basic unit for human body model we are constructing, which performance the difference of body shapes. The purpose of the study is to extract the structural feature factors related to the upper body surface feature points for young females. The 12 feature points of upper body surface were manually confirmed from anthropometric expertise. A total of 31 measurements items, including 3 body surface measurement and 28 photo measurement, were collected for 33 females college students According to the results of correlation analysis, the feature variables of the width, thickness and height dimension based on 12 feature points significantly respectively correlated to the variables of their coordinate orientation, furthermore, the correlated relationship which reflected the width and height features of neck and shoulders shape mainly affected by local skeletal structures. Then, four principle component factors account for upper body shapes of young females, such as width, thickness, height and shoulder shape with characteristic value all over 1, were extracted by the principal component analysis, and the cumulative contribution rate reached 87.387%. Therefore, a total of 8 feature variables sifted from each principle component factor with a loading coefficient over 0.7 as fundamental typical indicators represent the three-dimensional characteristics of body surface feature points reflecting the divergence of body shapes, and it is useful structural information for individual human body modelling.

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“…3D imaging systems capture detailed and accurate 3D images of the human body from which size and shape characteristics can be extracted. Measures obtained from 3D imaging have been used to describe, interpret and analyse the human body for applications, such as apparel sizing [14,15], and considering risk factors in epidemiological surveys [10,12,16], for the purpose of clinical evaluation and health monitoring [12,17,18]. Due to the rapid and repeatable acquisition of 3D imaging data, previous studies have been able to collect measures from large cohorts of participants [10,19,20], allowing researchers to consider individuals with a wide range of body characteristics.…”

Section: Introductionmentioning

confidence: 99%

Allometry Between Measures of Body Size and Shape in a Large Population-Based Cohort

Thelwell¹,

Bullas²,

Kühnapfel³

et al. 2020

Proceedings of 3DBODY.TECH 2020 - 11th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Traditional manual anthropometrics have been used extensively in practice to derive indicators of health risk, such as growth disorders or obesity; however, these approaches typically reduce the complex shape of human bodies to a series of simple size measures. Three-dimensional (3D) imaging systems capture detailed and accurate images of human morphology which have the potential for use within health applications. However, previous studies utilising 3D imaging have only assessed body shape based on combinations and relative proportions of large numbers of size measures. Geometric morphometrics-established mathematical methods within the fields of anthropology and evolutionary biology-analyse morphological variation and allometric relationships between the size and shape of organisms. The aim of this study was to investigate allometry between traditional measures of body size and novel measures of body shape. Developed analytical procedures were utilised to extract scale-invariant features of torso shape from 3D imaging data of 4,405 male participants in the LIFE-Adult cohort, obtained using a Vitus Smart XXL laser scanner. Partial least squares regression (PLSR) models were created to determine how human body shape changes with increases in body size. This study demonstrated that linear combinations of size measures can explain between 3.2-84.4 % of the variation in individual body shape features. These results indicate that measures of human body shape show a complex dependence on body size, providing complementary anthropometric features of the human body. The aim of future studies will be to investigate the efficacy of these measures in clinical epidemiology.

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A new sizing system based on 3D shape descriptor for morphology clustering

Cited by 25 publications

References 26 publications

How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study

How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study

Structural feature factors extraction of upper body shape for young female

Allometry Between Measures of Body Size and Shape in a Large Population-Based Cohort

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