Automated acquisition of lifelike 3D human models from multiple posture data

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Jochen Wingbermühle
  • Claus Eberhard Liedtke
  • Juri Solodenko

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Details

Original languageEnglish
Pages (from-to)400-409
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2124
Publication statusPublished - 30 Aug 2001

Abstract

In this paper we propose a method for the automated acquisition of 3D human models for real-time animation. The individual to be modelled is placed in a monochrome environment and captured simultaneously by a set of 16 calibrated cameras distributed on a metal support above and around the head. A number of image sets is taken from various postures. A binary volume model will then be reconstructed from each image set via a shape-from-silhouette approach. Based on the surface shape and a reliable 3D skeletonisation of the volume model, a parametric human body template is _tted to each captured posture independently. Finally, from the parameter sets obtained initially, one unique set of posture-invariant parameters and the corresponding mul- tiple sets of posture-dependent parameters are estimated using iterative optimisation. The resulting model consists of a fully textured triangular surface mesh over a bone structure, ready to be used in real-time appli- cations such as 3D video-conferencing or o_-the-shelf multi-player games.

Keywords

    3D videoconferenc-ing, Human models, Shape-from-silhouette

ASJC Scopus subject areas

Cite this

Automated acquisition of lifelike 3D human models from multiple posture data. / Wingbermühle, Jochen; Liedtke, Claus Eberhard; Solodenko, Juri.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2124, 30.08.2001, p. 400-409.

Research output: Contribution to journalArticleResearchpeer review

Wingbermühle, J, Liedtke, CE & Solodenko, J 2001, 'Automated acquisition of lifelike 3D human models from multiple posture data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2124, pp. 400-409. https://doi.org/10.1007/3-540-44692-3_49
Wingbermühle, J., Liedtke, C. E., & Solodenko, J. (2001). Automated acquisition of lifelike 3D human models from multiple posture data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2124, 400-409. https://doi.org/10.1007/3-540-44692-3_49
Wingbermühle J, Liedtke CE, Solodenko J. Automated acquisition of lifelike 3D human models from multiple posture data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001 Aug 30;2124:400-409. doi: 10.1007/3-540-44692-3_49
Wingbermühle, Jochen ; Liedtke, Claus Eberhard ; Solodenko, Juri. / Automated acquisition of lifelike 3D human models from multiple posture data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001 ; Vol. 2124. pp. 400-409.
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