Shape measurement system of foot sole surface from flatbed scanner image

Sandy Martedi, Hideo Saito, Myriam Servières

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We present a system to measure 3D shape of sole surface of human foot using flatbed scanner. Our goal is to build a low cost system for reconstructing sole surface of human foot using flatbed scanner for making tailored shoes. There are two main phases in our system: a photometric parameter estimation and a reconstruction phase. The photometric parameter estimation calculates the position of the light source in the scanner. The reconstruction phase uses iterative algorithm to calculate normal vector and the depth information. First, we implement photometric parameter estimation by scanning some white paper in several slant and rotation angles. We conducted some experiments to obtain the best slant and rotation angle combination for calculating light source position of the scanner. We also propose a new method for estimating light source position of the scanner using foot model. Next, we conduct reconstruction phase by scanning user's foot. We then apply median filter with 5×5 mask sizes to remove the noise in scanned image. By using the calculated light source position from the previous step and pixel intensity of scanned image, depth and normal vector are calculated iteratively. We acquire more accurate light source position by comparing albedo ratio and finally we acquire the 3D shape which average error compared with ground truth data is up to 0.97mm.

Original languageEnglish
Title of host publicationProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages338-341
Number of pages4
Publication statusPublished - 2009 Dec 1
Event11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
Duration: 2009 May 202009 May 22

Publication series

NameProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
CountryJapan
CityYokohama
Period09/5/2009/5/22

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Martedi, S., Saito, H., & Servières, M. (2009). Shape measurement system of foot sole surface from flatbed scanner image. In Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009 (pp. 338-341). (Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009).