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A Fast Geometric Deformation Method to Adapt a Foot to a Platform

  • J. M. Buades
  • M. González-Hidalgo
  • Francisco J. Perales
  • S. Ramis-Guarinos
  • A. Oliver
  • E. Montiel
Chapter
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 7)

Abstract

The main goal of this research work is to develop a new system that designs shoes that adapts exactly to the foot shape. This research is based on a biomechanical anatomical structure of the foot and of the deformable shape. The system automatically selects significant foot points. We consider several anthropometrical parts of the foot in order to apply a global deformation with different axis. Also an interpolation process is designed to combine the several parts of the foot in an efficient and accurate manner. We consider different criteria in the deformation process because the top is rigid and the sole is assumed non-rigid. The system is implemented in an optimized software version in order to control the computational cost of the deformation process. A prototype of oriented commercial Application Programming Interface (API) is developed for non specialized users of the system. The results presented evaluate the error between deformations and we validate the error of several users (foot and last). Also the low error obtained guarantees the comfort of the foot that is a very important objective in this area of research.

Keywords

Boundary Element Method Axis Translation Laplacian Smoothing Deformation Line Metatarsal Joint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work is subsidized by the national project DPI2009-14738-C02-01 of the MICIIN Spanish Government coordinated by INESCOP (Asoc. investigacin industrias del calzado y conexas) and developed in collaboration with UIB (University of Balearic Islands).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • J. M. Buades
    • 1
  • M. González-Hidalgo
    • 1
  • Francisco J. Perales
    • 1
  • S. Ramis-Guarinos
    • 1
  • A. Oliver
    • 1
  • E. Montiel
    • 2
  1. 1.Computer Graphics, Vision and Artificial Intelligence Group, Department of Mathematics and Computer ScienceUniversity of Balearic IslandPalma de MallorcaSpain
  2. 2.INESCOP, Footwear Technological InstituteElda-AlicanteSpain

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