Estimating average growth trajectories in shape-space using kernel smoothing

Author

Hutton, Tim J. ; Buxton, Bernard F. ; Hammond, Peter ; Potts, Henry W W

Author_Institution

Biomed. Informatics Unit, Univ. Coll. London, UK

Volume

22

Issue

6

fYear

2003

fDate

6/1/2003 12:00:00 AM

Firstpage

747

Lastpage

753

Abstract

In this paper, we show how a dense surface point distribution model of the human face can be computed and demonstrate the usefulness of the high-dimensional shape-space for expressing the shape changes associated with growth and aging. We show how average growth trajectories for the human face can be computed in the absence of longitudinal data by using kernel smoothing across a population. A training set of three-dimensional surface scans of 199 male and 201 female subjects of between 0 and 50 years of age is used to build the model.

Keywords

biomedical optical imaging; image registration; medical image processing; 0 to 50 year; aging; average growth trajectories estimation; facial growth; female subjects; growth; kernel smoothing; male subjects; medical image registration; morphometrics; shape changes; shape-space; three-dimensional surface scans; Biomedical imaging; Biomedical informatics; Computed tomography; Face; Humans; Kernel; Muscles; Shape; Smoothing methods; X-ray imaging; Adolescent; Adult; Aging; Algorithms; Cephalometry; Child; Child, Preschool; Face; Facies; Female; Head; Humans; Imaging, Three-Dimensional; Infant; Infant, Newborn; Male; Maxillofacial Development; Middle Aged; Models, Biological; Pattern Recognition, Automated; Sex Factors; Subtraction Technique;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2003.814784

Filename

1211204