基于统计形状模型的三维足形状建模
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1.宁波大学;2.University of Auckland

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国家自然科学基金面上项目(81772423)及国家自然科学基金委与英国爱丁堡皇家科学院国际合作与交流项目(81911530253),中新政府博士研究生奖学项目资助。


3D Foot Shape Modelling Based on Statistical Shape Model
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1.Ningbo University;2.University of Auckland

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    摘要:

    目的:构建足的三维统计形状模型,以揭示足形状的三维变化特征。方法:50名中国青年男性正常足数据用于三维统计形状建模,通过足面网格配准、点对齐及主成分降维分析等步骤,以获得平均足形态及在各(主成分)维度的标准差等参数化的足形态。结果:通过主成分降维分析(Principal Component Analysis, PCA),三维足型主要在长短及宽窄(PC1, 48.01%)、足弓高度及足背厚度(PC2, 11.38%)及大脚趾展收(PC3, 7.48%)等维度变化。结论:通过构建参数化的足三维统计形状模型,可运用至基于该人群的鞋楦制作、鞋垫定制及临床足病快速诊断等应用。

    Abstract:

    Objective: It was aimed to reveal the foot shape variations in three dimension via the 3D statistical shape modelling. Methods: Fifty feet of normal Chinese young males were used build the statistical shape model. Steps, including mesh registration of foot surface, axis alignment and principal component analysis (dimension reduction), were performed to obtain the parameterized foot shape (mean shape and standard deviation of principal components). Results: Through the principal component analysis (PCA), the 3D foot shape varies in the length and width (PC1, 48.01%), arch and dorsal height (PC2, 11.38%), and hallux abduction-adduction position (PC3, 7.48%). Conclusions: Based on the parameterised 3D foot statistical shape modelling, these dataset could be applied into the population-based shoe last manufacture, orthotics customization and quick diagnosis of foot disorders in clinics.

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历史
  • 收稿日期:2019-12-04
  • 最后修改日期:2020-01-25
  • 录用日期:2020-02-21
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