Natural features technique for non-contact three dimensional craniofacial anthropometry using stereophotogrammetry

Majid, Z. and Chong, A. and Setan, H. and Ahmad, A. and Rajion, Z. A. (2006) Natural features technique for non-contact three dimensional craniofacial anthropometry using stereophotogrammetry. Archives of Orofacial Sciences, 1 . pp. 42-50. ISSN 1823-8602

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Abstract

This paper describes the use of stereophotogrammetry approach to measure and hence identify accurately three dimensional(3D) coordinates of important landmarks on a craniofacial surface. A “novel” technique dubbed as “natural features” technique was employed to accurately compute the 3D coordinates of selected craniofacial landmarks. The natural features technique involves the use of 3D coordinates of the natural features (such as acne, scar, corners of eyes, edge of mouth, point of chin, etc.) that appear on the craniofacial surface as an absolute stereophotogrammetric mapping control points. The 3D coordinates of the natural features were gained using digital photogrammetric bundle adjustment method. Validation of the proposed technique has firstly been carried out using mannequin and finally, it was applied on the real-life human faces. The result shows that the craniofacial landmark measurement accuracy of 0.8mm with one standard deviation can be successfully achieved by the proposed technique

Item Type:Article (Commonwealth Reporting Category C)
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Uncontrolled Keywords:stereophotogrammetry; craniofacial landmarks; 3D coordinates; facial mapping
Fields of Research (FOR2008):09 Engineering > 0909 Geomatic Engineering > 090999 Geomatic Engineering not elsewhere classified
Subjects:230000 Mathematical Sciences > 239900 Other Mathematical Sciences > 239901 Biological Mathematics
280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280203 Image Processing
290000 Engineering and Technology > 291500 Biomedical Engineering > 291501 Clinical Engineering
280000 Information, Computing and Communication Sciences > 280100 Information Systems > 280111 Conceptual Modelling
280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280207 Pattern Recognition
320000 Medical and Health Sciences > 321000 Clinical Sciences > 321099 Clinical Sciences not elsewhere classified
Socio-Economic Objective (SEO2008):E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
ID Code:7347
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Deposited On:10 Apr 2010 18:11
Last Modified:14 Dec 2011 16:20

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