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3d foot reconstruction based on mobile phone photographing

Niu, Lulu ; Xiong, Gang ; Shang, Xiuqin ; Guo, Chao ; Chen, Xi and Wu, Huaiyu (2021) In Applied Sciences (Switzerland) 11(9).
Abstract

Foot measurement is necessary for personalized customization. Nowadays, people usually obtain their foot size by using a ruler or foot scanner. However, there are some disadvantages to this, namely, large measurement error and variance when using rulers, and high price and poor convenience when using a foot scanner. To tackle these problems, we obtain foot parameters by 3D foot reconstruction based on mobile phone photography. Firstly, foot images are taken by a mobile phone. Secondly, the SFM (Structure-from-Motion) algorithm is used to acquire the corresponding parameters and then to calculate the camera position to construct the sparse model. Thirdly, the PMVS (Patch-based Multi View System) is adopted to build a dense model.... (More)

Foot measurement is necessary for personalized customization. Nowadays, people usually obtain their foot size by using a ruler or foot scanner. However, there are some disadvantages to this, namely, large measurement error and variance when using rulers, and high price and poor convenience when using a foot scanner. To tackle these problems, we obtain foot parameters by 3D foot reconstruction based on mobile phone photography. Firstly, foot images are taken by a mobile phone. Secondly, the SFM (Structure-from-Motion) algorithm is used to acquire the corresponding parameters and then to calculate the camera position to construct the sparse model. Thirdly, the PMVS (Patch-based Multi View System) is adopted to build a dense model. Finally, the Meshlab is used to process and measure the foot model. The result shows that the experimental error of the 3D foot reconstruction method is around 1mm, which is tolerable for applications such as shoe tree customization. The experiment proves that the method can construct the 3D foot model efficiently and easily. This technology has broad application prospects in the fields of shoe size recommendation, high-end customized shoes and medical correction.

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author
; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
3D foot reconstruction, Personalized customization, PMVS, SFM
in
Applied Sciences (Switzerland)
volume
11
issue
9
article number
4040
publisher
MDPI AG
external identifiers
  • scopus:85105925193
ISSN
2076-3417
DOI
10.3390/app11094040
language
English
LU publication?
no
id
d5ffb835-b2a9-482c-8ec0-f2af947d4d51
date added to LUP
2021-06-02 08:47:42
date last changed
2022-04-27 02:14:28
@article{d5ffb835-b2a9-482c-8ec0-f2af947d4d51,
  abstract     = {{<p>Foot measurement is necessary for personalized customization. Nowadays, people usually obtain their foot size by using a ruler or foot scanner. However, there are some disadvantages to this, namely, large measurement error and variance when using rulers, and high price and poor convenience when using a foot scanner. To tackle these problems, we obtain foot parameters by 3D foot reconstruction based on mobile phone photography. Firstly, foot images are taken by a mobile phone. Secondly, the SFM (Structure-from-Motion) algorithm is used to acquire the corresponding parameters and then to calculate the camera position to construct the sparse model. Thirdly, the PMVS (Patch-based Multi View System) is adopted to build a dense model. Finally, the Meshlab is used to process and measure the foot model. The result shows that the experimental error of the 3D foot reconstruction method is around 1mm, which is tolerable for applications such as shoe tree customization. The experiment proves that the method can construct the 3D foot model efficiently and easily. This technology has broad application prospects in the fields of shoe size recommendation, high-end customized shoes and medical correction.</p>}},
  author       = {{Niu, Lulu and Xiong, Gang and Shang, Xiuqin and Guo, Chao and Chen, Xi and Wu, Huaiyu}},
  issn         = {{2076-3417}},
  keywords     = {{3D foot reconstruction; Personalized customization; PMVS; SFM}},
  language     = {{eng}},
  number       = {{9}},
  publisher    = {{MDPI AG}},
  series       = {{Applied Sciences (Switzerland)}},
  title        = {{3d foot reconstruction based on mobile phone photographing}},
  url          = {{http://dx.doi.org/10.3390/app11094040}},
  doi          = {{10.3390/app11094040}},
  volume       = {{11}},
  year         = {{2021}},
}