Estimating average growth trajectories in shape-space using kernel smoothing

• Published in: IEEE transactions on medical imaging Vol. 22; no. 6; pp. 747 - 753
• Main Authors: Hutton, T.J., Buxton, B.F., Hammond, P., Potts, H.W.W.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2003; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adolescent; Adult; Aging - physiology; Algorithms; Biomedical imaging; Biomedical informatics; Cephalometry - methods; Child; Child, Preschool; Computation; Computed tomography; Construction; Face; Face - anatomy & histology; Face - physiology; Facies; Female; Females; Head - anatomy & histology; Head - growth & development; Human; Humans; Imaging, Three-Dimensional; Infant; Infant, Newborn; Kernel; Kernels; Male; Males; Maxillofacial Development; Middle Aged; Models, Biological; Muscles; Pattern Recognition, Automated; Sex Factors; Shape; Smoothing; Smoothing methods; Subtraction Technique; Trajectories; X-ray imaging
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2003.814784

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 b...