PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras

Edmée Amstutz, Tomoaki Teshima, Makoto Kimura, Masaaki Mochimaru, Hideo Saito

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

13 Citations (Scopus)

Abstract

This article describes a multiple camera based method to reconstruct a 3D shape of a human foot. From a feet database, an initial 3D model of the foot represented by a cloud of points is built. In addition, some shape parameters, which characterize any foot at more than 92%, are defined by using Principal Component Analysis. Then, the 3D model is adapted to the foot of interest captured in multiple images based on "active shape models" methods by applying some constraints (edge points' distance, color variance for example). We insist here on the experiment part where we demonstrate the efficiency of the proposed method on a plastic foot model, and on real human feet with various shapes. We compare different ways to texture the foot, and conclude that using projectors can improve drastically the reconstruction's accuracy. Based on experimental results, we finally propose some improvements regarding to the system integration.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages161-170
Number of pages10
Volume5008 LNCS
DOIs
Publication statusPublished - 2008
Event6th International Conference on Computer Vision Systems, ICVS 2008 - Santorini, Greece
Duration: 2008 May 122008 May 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5008 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Computer Vision Systems, ICVS 2008
CountryGreece
CitySantorini
Period08/5/1208/5/15

Fingerprint

Shape Reconstruction
Passive Cutaneous Anaphylaxis
3D shape
3D Reconstruction
Foot
Camera
Cameras
3D Model
Active Shape Model
System Integration
Shape Parameter
Projector
Principal Component Analysis
Texture
Plastics
Principal component analysis
Textures
Experimental Results
Systems Integration
Color

Keywords

  • Foot shape reconstruction
  • Multiple cameras
  • PCA

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Amstutz, E., Teshima, T., Kimura, M., Mochimaru, M., & Saito, H. (2008). PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5008 LNCS, pp. 161-170). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5008 LNCS). https://doi.org/10.1007/978-3-540-79547-6_16

PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras. / Amstutz, Edmée; Teshima, Tomoaki; Kimura, Makoto; Mochimaru, Masaaki; Saito, Hideo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5008 LNCS 2008. p. 161-170 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5008 LNCS).

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

Amstutz, E, Teshima, T, Kimura, M, Mochimaru, M & Saito, H 2008, PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5008 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5008 LNCS, pp. 161-170, 6th International Conference on Computer Vision Systems, ICVS 2008, Santorini, Greece, 08/5/12. https://doi.org/10.1007/978-3-540-79547-6_16
Amstutz E, Teshima T, Kimura M, Mochimaru M, Saito H. PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5008 LNCS. 2008. p. 161-170. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-79547-6_16
Amstutz, Edmée ; Teshima, Tomoaki ; Kimura, Makoto ; Mochimaru, Masaaki ; Saito, Hideo. / PCA based 3D shape reconstruction of human foot using multiple viewpoint cameras. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5008 LNCS 2008. pp. 161-170 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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