The 3D point clouds registration for human foot

Xie, Yi; Shang, Xiuqin; Li, Yuqing; Liu, Xiwei; Zhu, Fenghua; Xiong, Gang; Pirttikangas, Susanna; Zhou, Jiehan (2018-10-02)
 
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https://doi.org/10.1007/978-3-030-01313-4_30

Xie, Yi
Shang, Xiuqin
Li, Yuqing
Liu, Xiwei
Zhu, Fenghua
Xiong, Gang
Pirttikangas, Susanna
Zhou, Jiehan
Springer Nature
02.10.2018

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

https://rightsstatements.org/vocab/InC/1.0/
© 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.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1007/978-3-030-01313-4_30
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https://urn.fi/URN:NBN:fi-fe2019042613355
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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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