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, doi:10.15221/14.337.
Methodology for Transformation of Individual Scan Data into Realistic Animated Human Models
Christine Meixner 1, Sybille Krzywinski 2
1 Laloni GmbH, Nusshof, Switzerland;
2 TU Dresden, Germany
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.
© Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, www.hometrica.ch.
Reproduction of the proceedings or any parts thereof (excluding short quotations for the use in the preparation of reviews and technical and scientific papers) may be made only after obtaining the specific approval of the publisher. The papers appearing in the proceedings reflect the author's opinions. Their inclusion in these publications does not necessary constitute endorsement by the editor or by the publisher. Authors retain all rights to individual papers.