[1]顾冰菲,张 健,徐凯忆,等.基于聚类和形态参数的人体体型分析研究进展[J].服装学报,2023,8(04):307-314.
 GU Bingfei,ZHANG Jian,XU Kaiyi,et al.Research Progress of Human Body Shape Analysis Based on Clustering and Morphological Parameters[J].Journal of Clothing Research,2023,8(04):307-314.
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基于聚类和形态参数的人体体型分析研究进展()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第8卷
期数:
2023年04期
页码:
307-314
栏目:
服装人体工学
出版日期:
2023-08-30

文章信息/Info

Title:
Research Progress of Human Body Shape Analysis Based on Clustering and Morphological Parameters
作者:
顾冰菲1; 2; 3;  张 健1;  徐凯忆1;  赵崧灵1
1. 浙江理工大学 服装学院,浙江 杭州 310018; 2. 浙江理工大学 浙江省服装工程技术研究中心,浙江 杭州 310018; 3. 浙江理工大学 丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室,浙江 杭州 310018
Author(s):
GU Bingfei1; 2; 3;  ZHANG Jian1;  XU Kaiyi1;  ZHAO Songling1
1. School of Fashion Design and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China; 2. Clothing Engineering Research Center of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou 310018,China; 3. Key Laboratory of Silk Culture Heritage and Products Design Digital Technology,Ministry of Culture and Tourism,Zhejiang Sci-Tech University,Hangzhou 310018,China
分类号:
TS 941.17
文献标志码:
A
摘要:
从形态参数分析和聚类方法两方面综述了人体体型相关的国内外研究成果。为更加细致地划分人体体型研究的不同方向,将形态参数分为整体体型参数和局部形态特征参数,其中局部形态根据人体部位与服装结构的关联性,共分为颈部、肩部、胸部、腰腹臀部和下肢。针对人体体型分析方法,总结了3种常用的聚类分析方法,包含K-means聚类分析、两步聚类分析和模糊聚类分析。基于现有成果展望了人工智能技术及人体自动测量技术在体型分析方面的发展前景,为其在服装尺码设置、三维人体建模和数字化服装等领域的应用提供参考。
Abstract:
This article reviews the domestic and foreign research achievements related to human body shape from the perspectives of morphological parameter analysis and clustering methods.In order to delineate the different perspectives of human body shape analysis more carefully, the morphological parameters are divided into overall body shape parameters and local morphological feature parameters for analysis.Among them, local forms are divided into neck, shoulder, chest, waist, abdomen, hip and lower limbs according to the relevance of body parts and garment structure.For human body shape analysis methods, three commonly used cluster analysis methods are summarized, including K-means cluster analysis, two-step cluster analysis and fuzzy cluster analysis. Finally, the development prospect of artificial intelligence technology and automatic human body measurement technology in body shape analysis is foreseen to provide reference for its application in the fields of clothing size setting, 3D body modeling and digital clothing.

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更新日期/Last Update: 2023-08-30