Methodology for Transformation of Individual Scan Data into Realistic Animated Human Models - 14.337
C. Meixner and S. Krzywinski, "Methodology for Transformation of Individual Scan Data into Realistic Animated Human Models", in Proc. of 5th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2014, pp. 337-346, https://doi.org/10.15221/14.337.
Title:
Methodology for Transformation of Individual Scan Data into Realistic Animated Human Models
Authors:
Christine Meixner 1, Sybille Krzywinski 2
1 Laloni GmbH, Nusshof, Switzerland;
2 TU Dresden, Germany
Abstract:
Animating individual scan data in an efficient and easy way is still quite a big challenge. Even more if anatomical correctness is required concerning the deformation by body movement.
We present a methodology for transforming individual scan data into realistic animated human models by adapting the scan data to a template model based on anthropometric coherences (skeleton, muscles, tendons and chondrals). The methodology is demonstrated for a female body. It can be used for a male body or even fictive creatures as well. For modeling and animation 3ds Max is used, but the technique is not fixed to a specific commercial system.
This approach allows an easy examination of the correlation between the posture of a person and the ideal pattern for a specific pose or movement. As the pose of an athlete differs significantly from the standard standing pose this solution can be used for garment design for high-performance sports. Another possible application is the construction and comparison of patterns in standing and sitting position to be used for wheel-chaired people.
Details:
Full paper: 14.337.pdf
Proceedings: 3DBST 2014, 21-22 Oct. 2014, Lugano, Switzerland
Pages: 337-346
DOI: 10.15221/14.337
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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