Search
  Advanced Search
 
Journal search
Journal cover: International Journal of Clothing Science and Technology

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Online from: 1989

Subject Area: Mechanical & Materials Engineering

Content: Latest Issue | icon: RSS Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Previous article.Icon: Print.Table of Contents.Next article.Icon: .

Initial validation of point cloud data from a 3D body scanner


Document Information:
Title:Initial validation of point cloud data from a 3D body scanner
Author(s):Terry Lerch, (Department of Engineering and Technology, Central Michigan University, Mount Pleasant, Michigan, USA), Sean Anthony, (Department of Engineering and Technology, Central Michigan University, Mount Pleasant, Michigan, USA), Tanya Domina, (Department of Human Environmental Studies, Central Michigan University, Mount Pleasant, Michigan, USA)
Citation:Terry Lerch, Sean Anthony, Tanya Domina, (2008) "Initial validation of point cloud data from a 3D body scanner", International Journal of Clothing Science and Technology, Vol. 20 Iss: 5, pp.271 - 280
Keywords:Data collection, Data structures, Image scanners
Article type:Research paper
DOI:10.1108/09556220810898881 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Acknowledgements:The authors are indebted to Barb Wilson and Marybeth Mey of Central Michigan Community Hospital of Mt Pleasant, MI, USA for providing the CT scans of the dress form. They also thank Dr Pat Kinnicutt of Central Michigan University for his assistance with the data analysis. This work was funded from NSF Grant No. BES-0420791.
Abstract:

Purpose – The purpose of this paper is to validate the accuracy of point cloud data generated from a 3D body scanner.

Design/methodology/approach – A female dress form was scanned with an X-ray computed tomography (CT) system and a 3D body scanning system. The point cloud data from four axial slices of the body scan (BS) data were compared with the corresponding axial slices from the CT data. Length and cross-sectional area measurements of each slice were computed for each scanning technique.

Findings – The point cloud data from the body scanner were accurate to at least 2.0 percent when compared with the CT data. In many cases, the length and area measurements from the two types of scans varied by less than 1.0 percent.

Research limitations/implications – Only two length measurements and a cross-sectional area measurement were compared for each axial slice, resulting in a good first attempt of validation of the BS data. Additional methods of comparison should be employed for complete validation of the data. The dress form was scanned only once with each scanning device, so little can be said about the repeatability of the results.

Practical implications – Accuracy of the point cloud data from the 3D body scanner indicates that the main issues for the use of body scanners as anthropometric measurement tools are those of standardization, feature locations, and positioning of the subject.

Originality/value – Comparisons of point cloud data from a 3D body scanner with CT data had not previously been performed, and these results indicate that the point cloud data are accurate to at least 2.0 percent.



Fulltext Options:

Login

Login

Existing customers: login
to access this document

Login


- Forgot password?
- Athens/Institutional login

Purchase

Purchase

Downloadable; Printable; Owned
HTML, PDF (247kb)Purchase

To purchase this item please login or register.

Login


- Forgot password?

Recommend to your librarian

Complete and print this form to request this document from your librarian


Marked list


Bookmark & share

Reprints & permissions