|本期目录/Table of Contents|

[1]王柯洁,何先撑,翁珊珊,等.基于单张合体着装图像的男性人体三围尺寸测量方法[J].浙江理工大学学报,2025,53-54(自科六):816-826.
　WANG Kejie,HE Xiancheng,WENG Shanshan,et al.Measurement of male human body circumference dimensions based on a single fitted dress image[J].Journal of Zhejiang Sci-Tech University,2025,53-54(自科六):816-826.
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基于单张合体着装图像的男性人体三围尺寸测量方法()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第53-54卷
期数:
2025年自科第六期
页码:
816-826
栏目:
出版日期:
2025-11-10

文章信息/Info

Title:
Measurement of male human body circumference dimensions based on a single fitted dress image
文章编号:
1673-3851(2025)11-0816-11
作者:
王柯洁; 何先撑; 翁珊珊; 侯钰 102;  102); background-color: rgb(255;  255;  255); font-family: Arial;  Verdana;  sans-serif; font-size: 12pt;">; 杨阳; 刘正
1.浙江理工大学,a.服装学院;b.丝绸文化传承与产品设计数字化技术文旅部重点实验室;c.国际时装技术学院,
杭州310018;2.浙江三彩服饰有限公司,杭州321105;3.雅戈尔服装制造有限公司,宁波315153
Author(s):
WANG Kejie;  HE Xiancheng;  WENG Shanshan;  HOU Jue;  YANG Yang;  LIU Zheng
1a. School of Fashion Design & Engineering; 1b. Key Laboratory of Silk Culture Inheritance and Products Design Digital Technology, Ministry of Culture and Tourism; 1c. International Institute of Fashion Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2. COLOUR Fashion Co., Ltd., Hangzhou 321105, China; 3. Youngor Garment Manufacturing Co., Ltd., Ningbo 315153, China
关键词:
人体测量; 深度学习; 着装图像; 单视角重建; 三围尺寸
分类号:
TS941.17
文献标志码:
A
摘要:
针对现有非接触式人体测量需净体或着紧身衣而导致用户体验感差的问题,提出了一种基于单张合体
着装图像的非接触式人体三围尺寸测量方法。通过融合卷积神经网络(Convolutionalneuralnetworks,CNN)与特
征金字塔网络(Featurepyramidnetworks,FPN)提取多尺度人体特征,结合 OpenPose算法获取人体关键点与姿态
信息,并采用蒙皮多人线性模型(Skinnedmulti-personlinear,SMPL)参数化模型完成三维重建,同时引入辅助预测
任务模块以增强图像编码器对人体形态的推理能力;根据特征点提取结果,定义截面平面并进行相交检测,采用深
度优先搜索算法(Depthfirstsearch,DFS)及欧氏距离计算胸围、腰围与臀围周长,结合身高参数完成尺寸归一化处
理;根据测量结果误差和身体质量指数(BMI)的相关性设置误差补偿,对初始测量结果进行修正,以提高单张着装图
像的人体测量精度,并通过与手工测得的净体尺寸对比,验证所提方法的准确性。结果表明:在着常规合体服装下,
采用该方法测得的胸围、腰围和臀围的绝对误差范围分别控制在0.12~1.51、0.03~1.53和0.07~0.89cm,相对
误差均低于2%。该方法在无需脱除服装的前提下实现了对人体三围的精准测量,具备较强的实际可行性与应用推
广价值,可为服装定制提供一种高效、低干扰的尺寸测量解决方案。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2025-03-11 网络出版日期:2025-06-26
基金项目:嘉兴市重点研究计划项目(2024BZ20013);浙江省文化和旅游科技创新示范项目(20230013)
作者简介:王柯洁(2000— ),女,河南洛阳人,硕士研究生,主要从事服装数字化方面的研究。
通信作者:刘 正,E-mail:Koala@zstu.edu.cn
更新日期/Last Update: 2025-11-25