With the rapid advancement of computer information technology, the traditional clothing industry has stridden towards automation and digitization that drive the growth of electronic commerce and line retailing. The purpose of this paper is to propose an approach on 3D upper body modelling based on the body measurements extracted by non-contact anthropometry.,Based on the frontal and side images of the human body, the body sizes were extracted through silhouette extraction, identification of landmarks and girth prediction. The generation rules of 15 characteristic cross-sectional curves were established using a method “feature points – inserted points – feature curves – basic surface – mannequin”. The feature points of each position were determined at each curve, such as the side neck point, front neck point, shoulder point, bust point, and bust root point and so on to get the cross-sections, and then some feature points were inserted at the curves according to the widths and depths to establish the calculative models. For example, there are 18 points distributed at the bust cross-sectional curve to determine the shape.,The final mannequin could describe the basic characteristics of a human body, and the shape of the feature curves could also fit the body type to provide basis for the future research on automatic pattern generation.,This study can realize the 3D virtual modelling of female upper body and the automatic generation of the individualized apparel patterns based on the frontal and side images.

中文翻译：

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基于2D图像的3D女性上身建模

随着计算机信息技术的飞速发展，传统服装行业迈向自动化和数字化，带动电子商务和线下零售的增长。本文的目的是提出一种基于非接触式人体测量法提取的身体测量值的 3D 上身建模方法。,基于人体的正面和侧面图像，通过轮廓提取、识别来提取身体尺寸。地标和周长预测。采用“特征点-插入点-特征曲线-基面-人体模型”的方法建立了15条特征截面曲线的生成规则。在每个曲线处确定每个位置的特征点，例如侧颈点、前颈​​点、肩点、胸围点、和胸根点等得到横截面，然后根据宽度和深度在曲线处插入一些特征点以建立计算模型。例如，在胸围横截面曲线上分布有18个点来确定形状。,最终的人体模型可以描述人体的基本特征，特征曲线的形状也可以为体型提供依据为今后的自动花样生成研究,本研究可实现女性上半身3D虚拟建模和基于正面和侧面图像的个性化服装花样的自动生成。