| Literature DB >> 12872950 |
Tim J Hutton1, Bernard F Buxton, Peter Hammond, Henry W W Potts.
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.Entities:
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Year: 2003 PMID： 12872950 DOI： 10.1109/TMI.2003.814784
Source DB: PubMed Journal: IEEE Trans Med Imaging ISSN： 0278-0062 Impact factor: 10.048