Craniofacial stereo mapping: improving accuracy with natural points

Majid, Zulkepli and Setan, Halim and Ahmad, Anuar and Chong, Albert (2005) Craniofacial stereo mapping: improving accuracy with natural points. New Zealand Surveyor (295). pp. 5-10. ISSN 0048-0150

Abstract

Stereo-photogrammetry has been reported in both photogrammetry and medical journals as the most suitable technique for craniofacial landmark mapping. Various size and shape of control frames were designed to provide three-dimensional object-space control for stereo images. A research was carried out to determine whether the accuracy could be further improved using natural points. In the research, control points and natural points were measured using photogrammetric digitising software and their coordinates computed using bundle adjustment technique. In addition, the six-camera stereo-photogrammetric system was electronically synchronized for optimum accuracy. Subsequently, a digital photogrammetric workstation was used for stereo orientation and stereo-digitising of the anthropometric landmarks. For the accuracy assessment of the 'natural point' technique, absolute orientation was performed on the stereo-model using control-frame control and natural points respectively. The results show that the developed technique achieves an accuracy of 0.6mm at one standard deviation. The best accuracy of the stereo-photogrammetric system was 0.25mm


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Authors Version not held.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 20 Apr 2010 02:51
Last Modified: 02 Jul 2013 23:45
Uncontrolled Keywords: face; photogrammetry; photogrammetric pictures; anthropometry; standard deviations; research
Fields of Research (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090606 Photonics and Electro-Optical Engineering (excl. Communications)
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
Socio-Economic Objective (SEO2008): C Society > 92 Health > 9202 Health and Support Services > 920203 Diagnostic Methods
URI: http://eprints.usq.edu.au/id/eprint/7338

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