[1]钟泽君,顾冰菲*.基于特征点自动定位的乳房形态参数提取[J].服装学报,2023,8(03):211-216.
　ZHONG Zejun,GU Bingfei*.Breast Morphological Parameters Extraction Based on Automatic Position of Feature Points[J].Journal of Clothing Research,2023,8(03):211-216.
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基于特征点自动定位的乳房形态参数提取()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第8卷
期数:
2023年03期
页码:
211-216
栏目:
服装智造
出版日期:
2023-06-30

文章信息/Info

Title:
Breast Morphological Parameters Extraction Based on Automatic Position of Feature Points
作者:
钟泽君1;  顾冰菲*1; 2; 3
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):
ZHONG Zejun1;  GU Bingfei*1; 2; 3
1. School of Fashion Design and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China; 2. Apparel 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 Univer-sity,Hangzhou 310018,China
分类号:
TS 941.17
文献标志码:
A
摘要:
为实现青年女性乳房形态参数自动提取,提出一种基于三维点云数据的“点-线-切片-参数”乳房形态参数自动提取方法。使用三维人体扫描仪获取实验对象的三维点云数据,利用MATLAB软件基于乳房局部三维点云建立乳房局部坐标系,基于特征点/线定义建立其自动定位规则; 根据乳房特征点/线构建乳房切片模型,最终实现乳房形态参数自动提取。为验证参数提取精度,对比分析随机选取样本的自动提取与手工测量参数之间的误差。结果表明:GBL和GUBL的测量误差均小于±2 cm,D的测量误差小于0.5 cm,W的测量误差小于1 cm,90% AIBO的测量误差在2°内,90% WBB的测量误差在1 cm内,参数测量精度较高,可用于青年女性乳房形态分析。
Abstract:
In order to realize the automatic extraction of breast morphological parameters of young female, a "point-line-slice-parameter" breast morphological parameter extraction method based on 3D point-cloud data was proposed. 3D point-cloud data of experimental subjects were obtained using a 3D body scanner. The breast local coordinate system was established based on the breast local 3D point-cloud data using the MATLAB software. The automatic positioning rules of the feature points and lines was established based on their definitions. The breast slice model was constructed based on the breast feature points and lines, which finally realized the automatic extraction of breast morphological parameters. To verify the parameter extraction accuracy, the errors between the automatic extraction and the manually measured parameters were compared on randomly selected samples. The results show that the measurement errors of both GBL and GUBL are less than ±2 cm. The measurement error of D is less than 0.5 cm, W is within 1 cm, and 90% of AIBO are within 2°, 90% of WBB are within 1 cm. The accuracy of measurement parameters are high. This method can be used for breast morphology analysis of young female.

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更新日期/Last Update: 2023-06-30