• CN:11-2187/TH
  • ISSN:0577-6686

›› 2009, Vol. 45 ›› Issue (11): 205-211.

• 论文 • 上一篇    下一篇

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脚型解剖学标志点自动标识方法

刘斌;上官宁;林俊义;江开勇   

  1. 华侨大学机电及自动化学院
  • 发布日期:2009-11-15

Foot Anatomical Landmarks Automatic Mark Method

LIU Bin;SHANGGUAN Ning;LIN Junyi;JIANG Kaiyong   

  1. College of Mechanical Engineering and Automation, Huaqiao University
  • Published:2009-11-15

摘要: 针对现有标志点提取方法的不足,提出一种自动标识人体脚型解剖学标志点的有效方法,该方法以包含解剖学标志点的三维数字脚型作为变形模板。通过主成分分析(Principle component analysis, PCA)和迭代最近点(Iterative closest point, ICP)算法使目标脚型与模板脚型在最小二乘意义上对齐与配准,找出目标脚型与模板脚型之间的初始对应点集。采用以均匀采样和基于曲率分布的采样相结合的方法在模板脚型上获取采样点集,以采样点集在目标脚型上的对应点为位置约束,采用基于离散拉普拉斯的网格变形方法,使模板脚型逼近目标脚型。通过迭代,使模板脚型在误差范围内逼近目标脚型,这时模板脚型上的点与目标脚型上的对应点建立了映射关系,模板脚型上的解剖学标志点在目标脚型上的对应点即可视为目标脚型上的解剖学标志点。试验结果表明,基于模板的脚型解剖学标志点标识方法,自动化程度高,适应性强,能够应用于脚型的三维形态差异分析和基于脚型的鞋楦个性化定制系统。

关键词: ICP算法, 脚型建模, 解剖学标志点, 离散拉普拉斯算子

Abstract: In view of the disadvantage of existent landmark extraction methods, an efficient method is presented to automatically mark foot anatomical landmarks in human body. 3D data foot shape including anatomical landmarks is taken as deformable template. PCA and ICP methods are used to make target foot shape and template foot shape align and registrer in the least-squares sense. Then initial corresponding point sets between target foot shape and template foot shape are found. Sample point sets are obtained in the template foot shape by using method of combining uniform sampling and sampling based on distribution of curvature. Points in sample point sets corresponding to template foot shape are taken as position constrained condition. Discrete laplacian mesh deformation method is used to make template foot shape approach to target foot shape. Template foot shape is approached to target foot shape in error range via iteration. Therefore, the mapping relation between template foot shape points and the corresponding points on target foot shape is built. So the corresponding points of anatomical landmarks on template foot shape, on the target foot shape, can be treated as anatomical landmarks on target foot shape. The system can be applied to the healthy monitor of the flexible surface. The result of the experimentation indicates that foot anatomical landmarks mark method based on template has a high degree of automation and strong adaptability. It can be applied to difference analysis of 3D foot shape and shoe last individualized customization system based on foot shape.

Key words: Anatomical landmarks, Discrete laplacian, Foot shape modeling, ICP algorithm

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