Abstract
An optical 3-D measurement method (moiré) was applied to investigate posture and postural changes of the human body. Surface coordinates were recorded in 14 individuals during singing at anatomical landmarks and for given x, y, or z values. Hierarchical classification was performed with sets of coordinates from different body regions and for combined data sets: with euclidean distances calculated from difference matrices between extreme positions, and complete linkage, classifications could be obtained that fitted well to an independent grading of vocal performance. The procedure can be extended to other tasks of medical image interpretation and can be recommended for explorative analysis of 3-D data.
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© 1991 Springer-Verlag Berlin · Heidelberg
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Kurz, H., Leder, O. (1991). Exploring Three-Dimensional Image Data with Classification Methods. In: Bock, HH., Ihm, P. (eds) Classification, Data Analysis, and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76307-6_39
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DOI: https://doi.org/10.1007/978-3-642-76307-6_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-53483-9
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