3D Feature Extraction of 3D Human Facials Scans |
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| Abstract | Studies indicate a correlation between mental illnesses and the human genome. If mental illnesses can be determined by the genome, it is possible that these gene abnormalities could result in alterations of the facial morphology, i.e. cause birth defects.
This thesis presents a database of 3D facial scans, which has been annotated manually in respect to a 73-landmark scheme. The extracted mouth features has been aligned by the generalized Procrustes analysis and statistically analysed by the principal component analysis. In the principal component space, the K-means clustering algorithm is used to divide the population into groups of similar characteristic mouth features.
The results from the clustering showed a di fferentiation of the population based upon the mouth features. The method described in this thesis hereby presents a possibility of dividing people in groups based upon their shared characteristic mouth features. |
| Type | Bachelor thesis [Academic thesis] |
| Year | 2012 |
| Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk |
| Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark |
| Series | IMM-B.Sc.-2012-20 |
| Note | Supervised by Associate Professor Rasmus Reinhold Paulsen, rrp@imm.dtu.dk, DTU Informatics |
| Electronic version(s) | [pdf] |
| Publication link | http://www.imm.dtu.dk/English.aspx |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |