3DBODY.TECH 2020 - Paper 20.37

D.K. Pai et al., "Scalable Fit Testing and Visualization with VitalFit Soft Avatars", Proc. of 3DBODY.TECH 2020 - 11th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Online/Virtual, 17-18 Nov. 2020, #37.

Title:

Scalable Fit Testing and Visualization with VitalFit Soft Avatars

Authors:

Dinesh K. PAI 1,2, Yuan TIAN 1,2, Ye FAN 1,2

1 Vital Mechanics Research, Vancouver BC, Canada;
2 University of British Columbia, Vancouver BC, Canada

Abstract:

Predicting fit of garments is a major application of human body scanning and processing technologies. Fit prediction is particularly challenging for close-to-body garments such as intimate apparel, personal protective equipment, and wearable devices. Recent advances in measuring and modeling human soft tissues has made it possible to simulate fit more accurately, using finite element models of soft avatars. We describe a cloud computing solution for secure and scalable fit testing. It allows any number of computationally demanding soft avatar simulations to be run, from any computer. We also describe new methods for visualizing fit attributes, such as tissue compression and garment ease, and to compare different fits quantitatively.

Details:

Abstract: 2037pai-abs.pdf
Proceedings: 3DBODY.TECH 2020, 17-18 Nov. 2020, Online/Virtual
Paper id#: 37
Presentation video: 2037pai.mp4

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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.


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