Shape Map Method for 3D Body Scanning Information Storage - A12.071

P. Sixiang et al., "Shape Map Method for 3D Body Scanning Information Storage", in Proc. of 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 2012, pp. 71-76, https://doi.org/10.15221/A12.071.

Title:

Shape Map Method for 3D Body Scanning Information Storage

Authors:

Peng SIXIANG 1, Chan CHEE-KOOI 1, Ameersing LUXIMON 1, W.H. IP 2

1 Institute of Textiles & Clothing, Hong Kong Polytechnic University, Hong Kong, SAR People's Republic of China;
2 Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong, SAR People's Republic of China

Abstract:

Body surface scanning data are mostly stored in point-cloud format currently. This paper describes a novel body surface profile information recording method for the human body, which called shape map format. It adopts novel surface morphological information processing methodology, which is able to retrieve and store both the two-dimensional (2D) and three-dimensional (3D) information of the waist to hip section. Compared to the point-cloud data format, its presentation is more intuitive; its resolution rate is higher; its sampled point distribution is better for surface modeling and its size is much smaller, which is only about 12% of the original form. We have designed two data processing modules in Matlab that convert the body surface scanning data from point-cloud format to shape map format and conversely. Its performance have been evaluated using the 3D scanning data of the waist to hip human body section sampled using a [TC]2 3D scanner.

Keywords:

3D scanning, shape map, information, storage, compress

Details:

Full paper: A12.071.pdf
Proceedings: 3DBST A2012, 17-18 Apr. 2012, Tokyo, Japan
Pages: 71-76
DOI: https://doi.org/10.15221/A12.071

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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