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http://dx.doi.org/10.5351/KJAS.2019.32.1.015

A reliability measure of three dimensional shapes based on statistical shape analysis  

Shin, Sang Min (Department of Management Information Systems, Dong-A University)
Publication Information
The Korean Journal of Applied Statistics / v.32, no.1, 2019 , pp. 15-27 More about this Journal
Abstract
The reliability of the data means the overall consistency of the measurement results. Methods for evaluating reliability have been continuously studied because it affects the results of the statistical analysis. Cronbach's ${\alpha}$ coefficient or intraclass correlation coefficient is used for reliability evaluation; however, these measures cannot be applied to data consisting of three-dimensional coordinates to represent an object. In this study, we propose a measure to evaluate the reliability of three dimensional shapes based on statistical shape analysis that is made possible by extracting the shape information from the measured three dimensional coordinates and decomposing the shape variation.
Keywords
three dimensional shape; reliability; statistical shape analysis; shape variation;
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