3DBODY.TECH 2022 - Paper 22.28

C. Lane and D. Layfield, "Efficient 4D Enrollment Workflow of Human Performance Producing Medical-Grade Data Models to Train, Wear, and Populate the Metaverse", Proc. of 3DBODY.TECH 2022 - 13th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 Oct. 2022, #28.

Title:

Efficient 4D Enrollment Workflow of Human Performance Producing Medical-Grade Data Models to Train, Wear, and Populate the Metaverse

Authors:

Chris LANE, Daniel LAYFIELD

3dMD LLC., Atlanta GA, USA

Abstract:

Not available

Details:

Proceedings: 3DBODY.TECH 2022, 25-26 Oct. 2022, Lugano, Switzerland
Paper id#: 28
Presentation video: 3DBodyTech2022_28_lane.mp4

Copyright notice

© Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, 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.


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