ANTHROPOMETRIC MEASUREMENT BASED ON STRUCTURE FROM MOTION IMAGING TECHNIQUE
https://doi.org/10.21122/2220-9506-2016-7-3-78-83
Abstract
The aim of this work was to estimate limitations related of the actual resolution of images taken into the object reconstruction procedure (using Structure from Motion method) applied for anthropometric measurements. This is necessary to define technical parameters of equipment used for this application. A series of 42 images of the sample static object were taken with use of high resolution camera. The object was in a stable position, properly illuminated with stable, diffused light sources. With use of VisualSFM software a virtual cloud of points representing real points of examined object was calculated. During tests a resolution of input images were changed then the calculation time and influence of the number of points in the cloud onto deviation of selected anthropometric parameters were analyzed. In conditions of the performed experiment decreasing of the resolution of input images to the level of 80 % of initial value (or lower) has significant influence onto results of the measurements of selected anthropometric parameters. Structure from Motion (SfM) technique can be adopted for anthropometric measurement systems when the input images are taken with high resolution imaging device (over a dozen of million pixels). Presented measurement method for anthropometry is characterized by ease of use, do not need any calibration before measurements or specialized equipment. Thank to this can be adopted in practice in any conditions and operated by unskilled operator.
About the Authors
S. PaśkoPoland
Institute of Micromechanics and Photonics
M. Sutkowski
Poland
Institute of Microelectronics and Optoelectronics
Address for correspondence: Paśko S. – Institute of Micromechanics and Photonics, Warsaw University of Technology, St. A. Boboli str., 8, 02-525, Warsaw, Poland e-mail: s.pasko@mchtr.pw.edu.pl
References
1. Xu B., Yu W., Yao M., Reese Pepper M., Freeland-Graves J. H. Three-dimensional surface imaging system for assessing human obesity. Opt. Eng., 2009, October, vol. 48? no. 10, nihpa156427. doi: 10.1117/1.3250191
2. Stancic I., Supuk T., Cecic M. Computer vision system for human anthropometric parameters estimation. WSEAS TRANSACTIONS on SYSTEMS, 2009, iss. 3, vol. 8, pp. 430–439.
3. Enciso R., Shaw A., Neumann U., Mah J. 3D head anthropometric analysis. Proc. SPIE 5029. Medical Imaging 2003: Visualization, Image-Guided Procedures and Display, 590. doi: 10.1117/12.479752
4. Davis J.P., Valantine T., Davis R.E. Computer assisted photo-anthropometric analyses of full-face and profile facial images. Forensic Sci Int. 2010 Jul 15, vol. 300, no. 1–3, pp. 165–176. doi: 10.1016/j.forsciint.2010.04.012
5. Smeets D., Claes P., Vandermeulenb D., Clementa J. G. Objective 3D face recognition: Evolution, approaches and challenges. Forensic Sci Int., 2010 Sep 10; vol. 201, no. 1- 3, pp. 125–132. doi: 10.1016/j.forsciint.2010.03.023
6. Fitzgibbon A.W., Zisserman A. Automatic camera recovery for closed or open image sequences. Computer Vision – ECCV’98, vol. 1406 of the series Lecture Notes in Computer Science, pp. 311–326. doi: 10.1007/BFb0055675
7. Muhamad S., Hebert M. Iterative projective reconstruction from multiple views. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR ‘00). 2000, june, vol. 2, pp. 430–437.
8. Faugeras O., Luong Q.T., Papadopoulo T. The geometry of multiple images, The MIT Press, 2001.
9. Liu L., Stamos I., Yu G., Wolberg G., Zokai S. Multiview geometry for texture mapping 2D images onto 3D range data. Proc. Computer Vision and Pattern Recognition. 2006, IEEE Computer Society Conference, 2006, vol. 2, pp. 2293–2300. doi: 10.1109/CVPR.2006.204
10. Wu Ch. Towards Linear-time Incremental Structure From Motion. Proceedings of the 2013. International Conference on 3D Vision. IEEE Computer Society Washington, DC, pp. 127–134. doi: 10.1109/3DV.2013.25
11. Wu Ch. VisualSFM: A Visual Structure from Motion System [Website of Synkera Technologies, Inc.]. Available at: http://ccwu.me/vsfm/ (accessed 31.10.2016).
12. [Website of Synkera Technologies, Inc.]. Available at: https://commons.wikimedia.org/wiki/File:Sfm1.jpg (accessed 20.02.2016).
Review
For citations:
Paśko S., Sutkowski M. ANTHROPOMETRIC MEASUREMENT BASED ON STRUCTURE FROM MOTION IMAGING TECHNIQUE. Devices and Methods of Measurements. 2016;7(3):305-311. https://doi.org/10.21122/2220-9506-2016-7-3-78-83