3D reconstruction of a human body from multiple viewpoints

Koichiro Yamauchi, Hideto Kameshima, Hideo Saito, Yukio Sato

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

3 Citations (Scopus)

Abstract

A human body measurement system using multiple view-points is proposed. Whole human body data taken from systems, which have been developed with a few viewpoints, have not been successful at acquiring due to occlusion. It is proposed that data can be successfully obtained by a method using multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those three pole units, with 12 rangefinders, are assigned around a person. Multiple viewpoint range images allow the 3D shape reconstruction of a human body. Then a morphable model is adapted to whole human body data. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, the system configuration, calibration, morphable model and experimental results are described.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings
PublisherSpringer Verlag
Pages439-448
Number of pages10
ISBN (Print)9783540771289
DOIs
Publication statusPublished - 2007
Event2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007 - Santiago, Chile
Duration: 2007 Dec 172007 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007
CountryChile
CitySantiago
Period07/12/1707/12/19

Keywords

  • 3D reconstruction
  • Human body
  • Modeling
  • Rangefinder

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of '3D reconstruction of a human body from multiple viewpoints'. Together they form a unique fingerprint.

Cite this