University of Oulu

Xie Y. et al. (2018) The 3D Point Clouds Registration for Human Foot. In: Shi Z., Pennartz C., Huang T. (eds) Intelligence Science II. ICIS 2018. IFIP Advances in Information and Communication Technology, vol 539. Springer, Cham

The 3D point clouds registration for human foot

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Author: Xie, Yi1,2; Shang, Xiuqin2,3; Li, Yuqing2,4;
Organizations: 1School of Electrical & Electronic Engineering, the University of Manchester, Manchester, M13 9PL, the United Kingdom
2The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3Cloud Computing Center, Chinese Academy of Sciences, Dongguan, Guangdong, China
4College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
5Qingdao Academy of Intelligent Industries, Qingdao, China
6Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
7The Center for Ubiquitous Computing, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019042613355
Language: English
Published: Springer Nature, 2018
Publish Date: 2019-04-26
Description:

Abstract

For personalized design it is important to be able to collect, measure and evaluate individual properties of human beings. This paper proposes registration for the point clouds during foot 3D scanning. In the experiment, we get the point clouds of the human foot from the Artec 3D scanner and complete the registration of the point clouds from different visual angles. Dealing with the customized footwear, we choose a novel algorithm, which combines the NARF key point detector and the FPFH descriptor, to improve the efficiency of the initial iteration and reduce the computation burden of matching process.

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Series: IFIP advances in information and communication technology
ISSN: 1868-4238
ISSN-E: 1868-422X
ISSN-L: 1868-4238
ISBN: 978-3-030-01313-4
ISBN Print: 978-3-030-01312-7
Pages: 282 - 292
DOI: 10.1007/978-3-030-01313-4_30
OADOI: https://oadoi.org/10.1007/978-3-030-01313-4_30
Host publication: Intelligence Science II. ICIS 2018. IFIP Advances in Information and Communication Technology
Host publication editor: Shi, Zhongzhi
Pennartz, Cyriel
Huang, Tiejun
Conference: International Conference on Intelligence Science
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the National Key Research and Development Program of China (No. 2018YFB1004800), the National Natural Science Foundation of China under Grants 61773381, 61773382, 61533019 and 91520301; Chinese Guangdong's S&T Project (2016B090910001, 2017B090912001); Dongguan’s Innovation Talents Project (Gang Xiong, Jian Lu); 2017 Special Cooperative Project of Hubei Province and Chinese Academy of Sciences.
Copyright information: © IFIP International Federation for Information Processing 2018. Published by Springer Nature Switzerland AG 2018. All Rights Reserved. This is a post-peer-review, pre-copyedit version of an article published in Intelligence Science II. ICIS 2018. IFIP Advances in Information and Communication Technology. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-01313-4_30.