Design Customization of Respiratory Mask based on 3D Face Anthropometric Data

被引：26

作者：

Chu, Chih-Hsing ^{[1
]}

Huang, Szu-Hao ^{[1
]}

Yang, Chih-Kai ^{[1
]}

Tseng, Chun-Yang ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 30013, Taiwan

来源：

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | 2015年 / 16卷 / 03期

关键词：

Design customization; Facial anthropometry; Respiratory mask; Parametric design; MORPHABLE MODEL;

D O I：

10.1007/s12541-015-0066-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents a machine learning based method for design customization of a 3D respiratory mask A parametric model of a 3D human face was constructed from an anthropometric database consisting of 495 facial models. An AdaBoost.R algorithm was applied to identify a set of measurable parameters most related to the facial geometry. The correlation between parameters was estimated using principal component analysis and linear regression. With those parameter values as input, the parametric model generates 3D meshes of a human face that serve as a design reference for the construction of a customized respiratory mask of a good fit. We conducted a series of experiments with 10-fold cross-validation to validate the effectiveness of the proposed method

引用

页码：487 / 494

页数：8

共 16 条

[1]

[Anonymous], 2002, Principal components analysis

[2] A morphable model for the synthesis of 3D faces [J].