Volume 8, Issue 3
Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera

Kun Hu, Yue-Qi Zhong & Ge Wu

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 493-500.

Published online: 2015-08

Preview Purchase PDF 0 1954
Export citation
  • Abstract

In this paper, a method is proposed to reconstruct 3D foot model using video captured by smart phone. Scale-Invariant Feature Transformation followed by feature matching were adopted to generate consistent tracks. These tracks were further processed to generate 3D points in terms of Structure-from-motion (SFM). The accuracy of the proposed method was evaluated by comparing the difference between the reconstructed foot and the scanned foot of an artificial socked foot. The mean error between them was 0.15 mm (SD=1.42 mm). Almost 80% data had an error less than 1.5 mm. The experimental results indicated that a mapped 3D foot model could be reconstructed by this simple and efficient method, and the accuracy of this method is enough for foot measurement and footwear design.

  • Keywords

3D Foot Image Sequence SFM Reconstruction Smart Phone

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JFBI-8-493, author = {}, title = {Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {3}, pages = {493--500}, abstract = {In this paper, a method is proposed to reconstruct 3D foot model using video captured by smart phone. Scale-Invariant Feature Transformation followed by feature matching were adopted to generate consistent tracks. These tracks were further processed to generate 3D points in terms of Structure-from-motion (SFM). The accuracy of the proposed method was evaluated by comparing the difference between the reconstructed foot and the scanned foot of an artificial socked foot. The mean error between them was 0.15 mm (SD=1.42 mm). Almost 80% data had an error less than 1.5 mm. The experimental results indicated that a mapped 3D foot model could be reconstructed by this simple and efficient method, and the accuracy of this method is enough for foot measurement and footwear design.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00145}, url = {http://global-sci.org/intro/article_detail/jfbi/4730.html} }
TY - JOUR T1 - Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera JO - Journal of Fiber Bioengineering and Informatics VL - 3 SP - 493 EP - 500 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00145 UR - https://global-sci.org/intro/article_detail/jfbi/4730.html KW - 3D Foot KW - Image Sequence KW - SFM KW - Reconstruction KW - Smart Phone AB - In this paper, a method is proposed to reconstruct 3D foot model using video captured by smart phone. Scale-Invariant Feature Transformation followed by feature matching were adopted to generate consistent tracks. These tracks were further processed to generate 3D points in terms of Structure-from-motion (SFM). The accuracy of the proposed method was evaluated by comparing the difference between the reconstructed foot and the scanned foot of an artificial socked foot. The mean error between them was 0.15 mm (SD=1.42 mm). Almost 80% data had an error less than 1.5 mm. The experimental results indicated that a mapped 3D foot model could be reconstructed by this simple and efficient method, and the accuracy of this method is enough for foot measurement and footwear design.
Kun Hu, Yue-Qi Zhong & Ge Wu. (2019). Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera. Journal of Fiber Bioengineering and Informatics. 8 (3). 493-500. doi:10.3993/jfbim00145
Copy to clipboard
The citation has been copied to your clipboard