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|Title:||Study and Development of Techniques for 3D Dental Identification||Authors:||ZHONG XIN||Keywords:||3D dental identification, feature extraction and matching, pattern recognition, medical image processing, computational geometry, dental biometrics||Issue Date:||16-Aug-2013||Citation:||ZHONG XIN (2013-08-16). Study and Development of Techniques for 3D Dental Identification. ScholarBank@NUS Repository.||Abstract:||Dental records have been regarded as one of the primary identifiers from recovered remains under severe conditions and mass disasters when other biological identifiers cannot be obtained. The commonly used approach is through manual comparison of dental features in dental charts and radiographs, which is inefficient and prone to errors. The primary objective of this thesis is to develop computer-based 3D identification approaches that overcome key hurdles in those based on 2D radiographs, including inaccurate tooth feature extraction from blurred images and the incorrect matching due to differences of imaging angles since radiographs are 2D projections of 3D objects. Three approaches are proposed and investigated: point-based matching and identification, arch-based matching and identification, and single-tooth classification and identification. The developed methods are suitable for computer-facilitated decision support dental identification. The identification of partial dental sets, noisy sets and single tooth is feasible in 3D, with certain limitations that are discussed.||URI:||http://scholarbank.nus.edu.sg/handle/10635/49146|
|Appears in Collections:||Ph.D Theses (Open)|
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