Classification analysis of young female students’ waist–abdomen–hip based on body photos

腰围 体型 体型 服装 腹部 下半身 周长 人工智能 计算机科学 数学 医学 解剖 体质指数 地理 几何学 物理医学与康复 考古 病理
作者
Xiaoyu Cai,Bingfei Gu,Huazhou He
出处
期刊:Textile Research Journal [SAGE Publishing]
卷期号:91 (11-12): 1409-1418 被引量:13
标识
DOI:10.1177/0040517520979742
摘要

To improve body-type classification research and personalized clothing, this study adopted a research method of “three-dimensional (3D) scanning + photos” for the body-shape classification of young females’ waist–abdomen–hip. A total of 178 female college students were recruited for manual, photo and 3D body measurement to get the main body information. Based on the data acquired from 3D scanning, the corresponding heights, angles and other parameters of the waist, abdomen and hip were selected and used to analyze the human body in two respects of shape and height. Then the body-shape indexes and the height indexes were respectively analyzed, and 16 shape characteristic indicators and four height characteristic parameters affecting the waist, abdomen and hip were extracted. Three types in shape and two types in height were obtained, and the main classification rules of the waist–abdomen–hip shape were also concluded to identify the body type based on the body measurements extracted from body photos, which realized the automatic body-type identification based on body photos. It was of great practical significance to provide a basis for personalized customization of fast clothing and the subdivision of the human body shape, which could meet the individual customer’s requirements.
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