Photogrammetry for digital hand surface capture in swimming performance study

Chong, Albert K.-F. (2006) Photogrammetry for digital hand surface capture in swimming performance study. In: ISPRS Commission V Symposium: Image Engineering and Vision Metrology, 25-27 Sept 2006, Dresden, Germany.

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Abstract

The paper describes an application of close-range photogrammetry in the study of the human hand for propulsion in competitive swimming. The study involved the capture of 3-D surface data and modelling of a real and a replica hand. Both real and replica models were used in computer simulation to determine the propulsion parameters for high performance swimming. Custom-made control frame was used to provide accurate object-space control of the stereo-photography. In addition, the control frame was used to connect both sides of the hand into one coordinate system. A two-camera and a four-camera configuration were developed for the photography. The latter was used in the real hand photography and under-water stereo-photography. Results of the study showed that the surface of the replica has an undulating roughness of about 1.0 mm. However, the total error of the computed surface area was less than 1.5 cm2 or 0.85%. Consequently, the error of the surface topography of the replica was negligible and the resulted error in the computation of the propulsion parameters was minimal


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Authors retain copyright.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 19 Apr 2010 06:26
Last Modified: 02 Jul 2013 23:46
Uncontrolled Keywords: crawl swimming; replica hand; stereo-photography; underwater photography
Fields of Research (FOR2008): 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
URI: http://eprints.usq.edu.au/id/eprint/7371

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