A dense surface modelling technique for foot surface imaging

Al-Baghdadi, Jasim Ahmed Ali and Chong, Albert K. and McDougall, Kevin ORCID: https://orcid.org/0000-0001-6088-1004 and Alshadli, Duaa and Milburn, Peter and Newsham-West, Richard (2011) A dense surface modelling technique for foot surface imaging. In: Surveying and Spatial Sciences Biennial Conference (SSSC 2011): Innovation in Action: Working Smarter, 21-25 Nov 2011, Wellington, New Zealand.

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Automated 3D point cloud generation of an object surface from images using a Dense Surface Modelling algorithm is a reliable technique. Recently, this technique has been applied in numerous mapping applications such as the human face, historical building facades, digital archaeological artefact recording and forensic investigation. In this paper, the technique is applied to the mapping of the dorsal and plantar aspect of a human foot during weight-bearing, which is considered a difficult surface for 3D mapping. The purpose of the research is to develop an approach that provides low-cost, high-quality 3D surface models which can be used to study the dynamics of the foot during slow-gait. The objective of this paper is to present the techniques used and the results of this investigation.
The research results show that the total gaps in the generated 3D plantar surface, was less than 0.1 percent. However, these gaps did not reduce the anthropometric mark's positional measurement accuracy as these marks could be clearly identified in the 3D model. The 3D representation of the dorsal surface of the foot during walking exhibits significantly fewer holes than the plantar surface at about 0.02 percent. All the defined anthropometric landmarks appear clearly on the dorsum of the foot's 3D surface, thus making digital measurements on the surface an easy task. Light rays coming from the plantar surface must pass through a 12 mm tempered glass and, depending on the camera's position, some of the light rays suffered refraction and reflection, making the gaps in the plantar surface reconstruction unavoidable. However, the overall accuracy of the developed photogrammetric measurement technique is approximately 0.3mm for all the generated surfaces.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. This work is licensed under a Creative Commons Attribution 3.0 New Zealand License.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited: 12 Apr 2012 01:25
Last Modified: 31 Aug 2020 04:10
Uncontrolled Keywords: human surface texture; 3D surface model; photogrammetry; dorsal and plantar
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
40 ENGINEERING > 4003 Biomedical engineering > 400305 Biomedical instrumentation
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/20586

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