UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Estimating average growth trajectories in shape-space using kernel smoothing

Hutton, T.J.; Buxton, B.F.; Hammond, P.; Potts, H.W.W.; (2003) Estimating average growth trajectories in shape-space using kernel smoothing. IEEE Transactions on Medical Imaging , 22 (6) pp. 747-753. 10.1109/TMI.2003.814784. Green open access

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
917Kb

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.

Type:Article
Title:Estimating average growth trajectories in shape-space using kernel smoothing
Open access status:An open access version is available from UCL Discovery
DOI:10.1109/TMI.2003.814784
Publisher version:http://dx.doi.org/10.1109/TMI.2003.814784
Language:English
Additional information:©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > CHIME

View download statistics for this item

Archive Staff Only: edit this record