Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/21955
Type: | Thesis |
Title: | Accuracy of facial approximation : studies in measurement, prediction, and "recognizability" of human face anatomy / Carl Nathaniel Stephan. |
Author: | Stephan, Carl Nathaniel |
Issue Date: | 2003 |
School/Discipline: | Dept. of Anatomical Sciences |
Abstract: | In this thesis, commonly used methods for predicting soft tissue anatomy of major face features (eyes, nose, mouth and eyebrows) from the skull were tested and improved. New guidelines which better predict mouth width are presented, as are new regression equations that better predict pronasale position, average expohthalmometry measures which better predict eyeball projection and new guidelines that better predict superciliare position. |
Dissertation Note: | Thesis (Ph.D.) -- University of Adelaide, Dept. of Anatomical Sciences, 2003 |
Description: | Amendements inside front cover. Bibliography: leaves 226-246. 315 leaves : ill., photos (some col.) ; 30 cm |
Provenance: | Copyright material removed from digital thesis. See print copy in University of Adelaide Library for full text. This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals |
Appears in Collections: | Research Theses |
Files in This Item:
File | Description | Size | Format | |
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01front.pdf | 95.97 kB | Adobe PDF | View/Open | |
02whole.pdf | 16.49 MB | Adobe PDF | View/Open | |
Permissions Restricted Access | Library staff access only | 464.54 kB | Adobe PDF | View/Open |
Restricted Restricted Access | Library staff access only | 19.44 MB | Adobe PDF | View/Open |
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