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The MORFO3D Foot Database

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3523)

Abstract

A foot database comprising 3D foot shapes and footwear fitting reports of more than 300 participants is presented. It was primarily acquired to study footwear fitting, though it can also be used to analyse anatomical features of the foot. In fact, we present a technique for automatic detection of several foot anatomical landmarks, together with some empirical results.

Keywords

  • Mean Square Error
  • Anatomical Landmark
  • Automatic Detection
  • Medial Malleolus
  • Adhesive Marker

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.

Work supported by the “Agència Valenciana de Ciència i Tecnologia” under grant GRUPOS03/031 and the Spanish projects DPI2001-0880-CO2-01 and DPI2001-0880-CO2-02.

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  • DOI: 10.1007/11492542_80
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References

  1. I-ware laboratory, http://www.i-ware.co.jp/

  2. Goonetilleke, R.S., Luximon, A.: Designing for comfort: a footwear application. In: Proceedings of the Computer-Aided Ergonomics and Safety Conference 2001, July 28-August 2 (2001) Plenary session paper

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  3. Nacher, B., Alcántara, E., Alemany, S., García-Hernández, J., Juan, A.: 3d foot digitalizing and its application to footwear fitting. In: Proc. of 3D Modelling (2004)

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© 2005 Springer-Verlag Berlin Heidelberg

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García-Hernández, J. et al. (2005). The MORFO3D Foot Database. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_80

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  • DOI: https://doi.org/10.1007/11492542_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26154-4

  • Online ISBN: 978-3-540-32238-2

  • eBook Packages: Computer ScienceComputer Science (R0)