Transferring Landmarks to Individual Foot Using Deformable Template Models

Bin Liu, Ning Shangguan, Junyi Lin, Kaiyong Jiang
{"title":"Transferring Landmarks to Individual Foot Using Deformable Template Models","authors":"Bin Liu, Ning Shangguan, Junyi Lin, Kaiyong Jiang","doi":"10.1109/ICYCS.2008.388","DOIUrl":null,"url":null,"abstract":"An efficient and novel method is presented to automatically mark foot shape anatomical landmarks in human body. 3D digital foot shape including anatomical landmarks is taken as deformation template. PCA and ICP algorithms are applied to make sample foot shape and template foot shape align and registration in the least-squares sense. Then initial corresponding point set between sample foot shape and template foot shape is found. Sample point set is obtained in the template foot shape by using method that combining uniform sampling and sampling based on distribution of curvature. Points in sample point set corresponding to template foot shape are taken as position constrained condition. Discrete Laplacian mesh deformation is used to make standard foot shape fit sample foot shape. Template foot shape is approached to sample foot shape in error range via iteration. Therefor, the mapping relation between template foot shape points and the corresponding points on sample foot shape is built. So the corresponding points of anatomical landmarks on template foot shape, on the sample foot shape, can be treated as anatomical landmarks on sample foot shape.","PeriodicalId":370660,"journal":{"name":"2008 The 9th International Conference for Young Computer Scientists","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The 9th International Conference for Young Computer Scientists","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICYCS.2008.388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

An efficient and novel method is presented to automatically mark foot shape anatomical landmarks in human body. 3D digital foot shape including anatomical landmarks is taken as deformation template. PCA and ICP algorithms are applied to make sample foot shape and template foot shape align and registration in the least-squares sense. Then initial corresponding point set between sample foot shape and template foot shape is found. Sample point set is obtained in the template foot shape by using method that combining uniform sampling and sampling based on distribution of curvature. Points in sample point set corresponding to template foot shape are taken as position constrained condition. Discrete Laplacian mesh deformation is used to make standard foot shape fit sample foot shape. Template foot shape is approached to sample foot shape in error range via iteration. Therefor, the mapping relation between template foot shape points and the corresponding points on sample foot shape is built. So the corresponding points of anatomical landmarks on template foot shape, on the sample foot shape, can be treated as anatomical landmarks on sample foot shape.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用可变形模板模型将地标转移到个人脚
提出了一种高效、新颖的人体足形解剖标志自动标记方法。以包含解剖标志的三维数字足形为变形模板。采用PCA和ICP算法对样本足形和模板足形进行最小二乘对齐和配准。然后找到样本足形与模板足形的初始对应点集。采用均匀采样和基于曲率分布采样相结合的方法,在模板足形中获得样本点集。将样本点集中与模板足形相对应的点作为位置约束条件。采用离散拉普拉斯网格变形使标准脚形与样品脚形拟合。通过迭代逼近模板足形,在误差范围内采样足形。据此,建立模板足形点与样本足形上相应点的映射关系。因此,模板足形上解剖标志的对应点,在样本足形上,可视为样本足形解剖标志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On the Linear Structures of Cryptographic Rotation Symmetric Boolean Functions Research on Curriculum Design of “Real-time Analysis and Design” Based on Multi-core Platform The Discussion and Design of Innovative Education Mode in the College and University Hash Function Construction Based on Chaotic Coupled Map Network An Improved Image Encryption Algorithm Based on Chaos
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1