DocumentCode
2476753
Title
The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications
Author
Atmosukarto, Indriyati ; Shapiro, Linda G. ; Heike, Carrie
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
2444
Lastpage
2447
Abstract
Craniofacial disorders commonly result in various head shape dysmorphologies. The goal of this work is to quantify the various 3D shape variations that manifest in the different facial abnormalities in individuals with a craniofacial disorder called 22q11.2 Deletion Syndrome. Genetic programming (GP) is used to learn the different 3D shape quantifications. Experimental results show that the GP method achieves a higher classification rate than those of human experts and existing computer algorithms.
Keywords
face recognition; genetic algorithms; shape recognition; craniofacial disorders; facial abnormalities; genetic programming; learning 3D craniofacial shape quantifications; shape dysmorphologies; Face; Genetic programming; Histograms; Mouth; Nose; Shape; Three dimensional displays; 3D Shape quantification; genetic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.598
Filename
5595755
Link To Document