Breast shape classification and discrimination driven by local features-focusing on Chinese women in their 20s

Zhang, Beibei; Sun, Yue; Zhong, Zejun; Xia, Yuanping; Jin, Shouning; Li, Yuqing; Gu, Bingfei

doi:10.1016/j.ergon.2022.103304

Cited by 7 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To better understand the variations in breast-bra shape caused by different bra thicknesses, three conditions were compared: the improvement degree of breast ptosis and gathering, and the breast slice area. Moreover, the variations with different breast shapes were also analyzed according to our previous research on the classification of breast morphology [23]. The breast shape was classified into three types: 46 samples belonged to the plump oval type, 50 samples belonged to the uniform oval type, and the other 28 samples belonged to the flat circle type.…”

Section: Statistical Analysis Of the Morphological Parametersmentioning

confidence: 99%

“…In previous studies [20][21][22] on breast morphology, although many scholars have introduced angles as measured parameters, some basic body parameters are still lacking, including the shoulder oblique angle and the angles formed by the shape contour of the breast. Zhang et al [23] measured six parameters, including breast volume and angles extracted from breast contours, in 158 young female college students, classifying nine types based on local breast features and overall shapes. These studies on breast morphology can provide theoretical support and data references for bra design and pattern production.…”

Section: Introductionmentioning

confidence: 99%

“…For Chinese Standard bra sizes, such as FZ/T 73012-2017, the detailed principles are basically similar to those of Europe, America, and other regions [24,25]. However, existing breast standards cannot reflect the 3D morphological differences in female breasts [23]. Bra cups, which provide overall protection as well as reshaping the breasts, are usually designed according to the morphology of the breasts [26].…”

Section: Introductionmentioning

confidence: 99%

“…To analyze the changes in breast-bra shape associated with different bra cup thicknesses, this study proposes a method for comparing 3D differences in breast-bra morphology among three states, i.e., braless, when wearing bras with thin cups, and when wearing bras with thick cups. The measurements were conducted based on the classifications of breast shape obtained from our previous research [23]. This study will provide a foundation for the quantitative expression of shape variations caused by bras with different thicknesses, thus helping young women select bras that fulfill their aesthetic needs.…”

Section: Introductionmentioning

confidence: 99%

“…Feature points are the basis and key for determining breast slice location and performing breast morphological analysis. Referring to ISO 7250-1:2017 and related studies on breast morphology [23,33,34], four feature points (i.e., BP, MBP, LBP, and UBP) and four feature lines (i.e., BL, UBL, LML, and L 1 ) were determined according to the definitions shown in Table 2. The legend of feature points and lines is shown in Figure 1.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Comparative Morphological Evaluation of Young Women’s Breast-Bra Reshaping by Different Bra Cups

Zhong

Zhang

et al. 2023

IJERPH

Self Cite

View full text Add to dashboard Cite

Female breasts are regarded as a factor reflecting women’s morphological beauty. An appropriate bra can fulfill aesthetic needs, thus boosting self-esteem. This study proposed a method to analyze young women’s breast-bra morphological variations between two identical bras with different bra cup thicknesses. The 3D surface scan data of 129 female students who were braless and wore a thin bra (13 mm) and a thick bra (23 mm) were analyzed. Integral sections of the breasts and bra were cut at a fixed thickness of 10 mm, and slice maps were derived. Morphological parameters were extracted in braless and the two bra conditions. The variations in breast-bra shape caused by different thicknesses of bra cups were evaluated by quantifying breast ptosis, gathering, and breast slice area. The results showed that the thin bra lifted the breasts by 2.16 cm, whereas the thick bra decreased breast separation, gathering the breasts and moving them 2.15 cm laterally towards the center of the chest wall. Moreover, prediction models constructed using the critical morphological parameters were used to characterize breast-bra shape after wearing the provided bras. The findings lay the groundwork for quantifying the breast-bra shape variation caused by different bra cup thicknesses, allowing young females to choose optimally fitting bras to achieve their desired breast aesthetics.

show abstract

Section: Statistical Analysis Of the Morphological Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Comparative Morphological Evaluation of Young Women’s Breast-Bra Reshaping by Different Bra Cups

Zhong

Zhang

et al. 2023

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

An image-based shape analysis approach and its application to young women’s waist-hip-leg position

Xia

2023

Ergonomics

View full text Add to dashboard Cite

Extraction and recognition of breast morphological feature parameters based on machine learning models

Su,

Zhang,

Guo

et al. 2024

Textile Research Journal

View full text Add to dashboard Cite

Breast feature parameters could represent breast morphology. It is significant for improving bra fit, and is an important aspect of garment ergonomics. To obtain the important feature parameters that can effectively represent breast morphology, this study proposed a feature parameter extraction method based on the machine learning model. First, the human body point-cloud data of 201 female college students were obtained by a three-dimensional body scanner, and 24 feature parameters related to breast morphology were acquired. Then, the cluster analysis was used to classify breast morphology into four categories: uniform hemisphere, outward expanding circular, converging water drop, and outward expanding hemisphere. Finally, principal component analysis was used to reduce the dimensionality of feature parameters, and the three machine learning models, naive Bayes, support vector machine, and random forest, were utilized to extract the parameters after dimensionality reduction. The results showed that principal component analysis could reduce the dimensions of breast feature parameters to seven main parameters. Based on the above three models, the seven main parameters were further reduced to three important feature parameters. They were sorted sequentially: breast volume, breast surface area, and longitudinal breast cup straight line length, and the Fisher discriminate function was used to distinguish breast morphology. The recognition accuracy based on the three important feature parameters reached 99%, higher than 97.5% for full feature parameters recognition, and 98% for seven feature parameters recognition. It is proved that the three important feature parameters obtained by the machine model are effective in characterizing breast morphology.

show abstract

Breast shape classification and discrimination driven by local features-focusing on Chinese women in their 20s

Cited by 7 publications

References 37 publications

Comparative Morphological Evaluation of Young Women’s Breast-Bra Reshaping by Different Bra Cups

Comparative Morphological Evaluation of Young Women’s Breast-Bra Reshaping by Different Bra Cups

An image-based shape analysis approach and its application to young women’s waist-hip-leg position

Extraction and recognition of breast morphological feature parameters based on machine learning models

Contact Info

Product

Resources

About