Abstract
The paper describes the methodology of computer-based measurement for taking anthropometric dimensions. We focus on a 2D anthropometry system which is being designed for the purposes of a clothing company. The system consists of computer software, a digital camera and a background board with calibration dots. Only a few steps are needed to calibrate such a system and prepare it for the measurements. The measured person is captured, his silhouette is extracted and body dimensions are computed. Our research is intended to enrich existing techniques for automatic detection of anatomical landmarks (and body parts such as waist, chest, etc.) on the extracted silhouette. This step is very important to create a complete system without any need of user interaction and it must correspond to the body parts definitions given by clothing standards and tailors. Several potential sources of problems are discussed and some possible solutions are proposed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
American Standards for Testing and Materials (ASTM), Standard terminology relating to body dimensions for apparel sizing (Vol. 07-02, Designation: D5219-09) (2009)
BenAbdelkader, C., Yacoob, Y.: Statistical Estimation of Human Anthropometry from a Single Uncalibrated Image. Computational Forensics (2008)
Criminisi, A., Zisserman, A., van Gool, L.J., Bramble, S.K., Compton, D.: A New Approach to Obtain Height Measurements from Video (1998)
Drillis, R., Contini, R., Bluestein, M.: Body segment parameters: A survey of measurement techniques. Selected Articles from Artificial Limbs, 329–351 (1964)
Hilton, A., Beresford, D., Gentils, T., Smith, R., Sun, W., Illingworth, J.: Whole-body modelling of people from multiview images to populate virtual worlds. The Visual Compute 16(7), 411–436 (2000)
Hung, P.C.-Y., Witana, C.P., Goonetilleke, R.S.: Anthropometric Measurements from Photographic Images. Computing Systems 29, 764–769 (2004)
Lin, Y.L., Wang, M.J.: Automated body feature extraction from 2D images. Expert Systems with Applications 38, 2585–2591 (2011)
Meunier, P., Yin, S.: Performance of a 2D image-based anthropometric measurement and clothing sizing system. Applied Ergonomics 31, 445–451 (2000)
Simmons, K.P., Istook, C.L.: Body measurement techniques: A comparison of three-dimensional body scanning and physical anthropometric methods for apparel application. Journal of Fashion Marketing and Management 7(3), 306–332 (2003)
Stancic, I., Supuk, T., Cecic, M.: Computer vision system for human anthropometric parameters estimation. WSEAS Transactions on Systems 8, 430–439 (2009)
Suzuki, S., Abe, K.: Topological Structural Analysis of Digitized Binary Images by Border Following. CVGIP 30(1), 32–46 (1985)
Yuen, H.K., Princen, J., Illingworth, J., Kittler, J.: Comparative study of Hough transform methods for circle finding. Image Vision Comput. 8(1), 71–77 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kohlschütter, T., Herout, P. (2012). Automatic Human Body Parts Detection in a 2D Anthropometric System. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_53
Download citation
DOI: https://doi.org/10.1007/978-3-642-33191-6_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33190-9
Online ISBN: 978-3-642-33191-6
eBook Packages: Computer ScienceComputer Science (R0)