Automated Generation of Human Models from Scan Data in Anatomically Correct Postures for Rapid Development of Close-Fitting, Functional Garments - 11.164

C. Meixner and S. Krzywinski, "Automated Generation of Human Models from Scan Data in Anatomically Correct Postures for Rapid Development of Close-Fitting, Functional Garments", in Proc. of 2nd Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2011, pp. 164-173, https://doi.org/10.15221/11.164.

Title:

Automated Generation of Human Models from Scan Data in Anatomically Correct Postures for Rapid Development of Close-Fitting, Functional Garments

Authors:

Christine MEIXNER 1, Sybille KRZYWINSKI 2

1 ETH Zurich, Switzerland;
2 TU Dresden, ITM, Germany

Abstract:

During the last decade, 3d scanning of human bodies got widely-used in apparel industry, but mostly just the measurements are taken and the pattern construction process is done still in 2D. Effective processes to bring a body scan anatomically correct into body postures and movements that are typical for garment usage, e.g. high-performance sports, are missing. Our approach uses a template model with an optimized mesh structure, a kinematic system composed of skin, muscles and skeleton parts, and anthropometric landmarks. The landmarks are used to scale each bone of the template model to the size of the scan and to adjust the posture exactly by rotating the bones. The muscle system and the skin follow the changes of the bones. This skin can now be used to generate automatically a mesh with the exact surface of the body scan and identical connectivity, which enables us to transfer the kinematic system and behavior easily and automated. We demonstrate results for a lower body part of a human being. All modeling and animation work was done in 3ds max.

Keywords:

3d body scanning, automation, character animation, human body simulation, musculo-skeletal simulation, template

Details:

Full paper: 11.164.pdf
Proceedings: 3DBST 2011, 25-26 Oct. 2011, Lugano, Switzerland
Pages: 164-173
DOI: https://doi.org/10.15221/11.164

License/Copyright notice:

Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.

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