摘要
为探究青年男性颈肩部形态分类并实现基于照片的自动识别,首先通过三维人体扫描仪获取180名男大学生颈肩部的点云数据,测量了22个与男性颈肩部形态相关的特征参数;然后根据变异系数分析选取前倾角、背入角、肩斜角、颈肩宽比、颈横矢径比作为聚类分析变量,对颈肩部形态进行分类并总结判别规则;最后结合人体二维照片提取体型分类所需参数,构建了颈肩部形态自动识别系统。结果显示:青年男性颈肩部形态可分为落肩圆颈体、前倾圆颈体、宽颈直体3类,构建的形态自动识别系统的判别准确率达到93.33%,说明本文方法可行且有效,可满足消费者个性化定制的需求。
In order to explore the classification of the neck and shoulder shape of young men and to facilitate the automatic recognition based on 2-D photos,this study obtained the point cloud data of 180 male college students using a three-dimensional body scanner,and measured 22 characteristic parameters relating to the male neck and shoulder shape.According to the analysis of the coefficient of variation,the forward angle,back angle,shoulder oblique angle,neck-to-shoulder width ratio,and neck transverse sagittal diameter ratio were selected as cluster analysis variables to classify the neck and shoulder shapes for establishing the discriminant rules.Combining the 2-D photos of the human body to extract the parameters required for body type classification,an automatic recognition system for the shape of the neck-shoulders was constructed.The results show that the neck-shoulder shape of young men can be divided into three types,namely round-neck-drop-shoulder,forward-round-neck and wide-neck-straight-body.The discrimination accuracy rate of the constructed form automatic recognition system reached 93.33%,indicating that this method is effective and feasible,and can meet the needs of consumers′personalized customization.
作者
张健
徐凯忆
赵崧灵
顾冰菲
ZHANG Jian;XU Kaiyi;ZHAO Songling;GU Bingfei(School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China;Clothing Engineering Research Center of Zhejiang Province, Hangzhou, Zhejiang 310018, China;Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, Hangzhou, Zhejiang 310018, China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2022年第5期143-149,共7页
Journal of Textile Research
基金
国家自然科学基金项目(61702461,61702460)
中国纺织工业联合会应用基础研究项目(J202007)
浙江理工大学科研业务费专项资金资助项目(2020Q051)
浙江理工大学优秀研究生学位论文培育基金项目(LW-YP2021054)
浙江理工大学服装服饰文化创新团队项目(11310031282006)。
关键词
颈肩部形态
体型分类
二维照片
体型自动识别
服装个性化定制
neck-shoulder shape
body classification
2-D photographs
automatic body identification
clothing personalized customization
作者简介
第一作者:张健(1997—),男,硕士生,主要研究方向为数字化服装技术;通信作者:顾冰菲(1987—),女,副教授,博士,主要研究方向为数字化服装技术,E-mail:gubf@zstu.edu.cn。
