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| Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera |
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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.
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| Cite this article: |
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Kun Hu,Yueqi Zhong,Ge Wu. Reconstruction of 3D Foot Model from Video Captured Using Smartphone Camera[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 493-500.
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2015, Vol. 8 
