Abstract
We show how statistical shape analysis, a set of techniques used to model the shapes of biological and other kinds of objects in the natural sciences, can also be used to model the geometric shape of a manufactured part. We review Procrustes-based methods, and emphasize possible solutions to the basic problem of having corresponding, or matching, labels in the measured “landmarks”, the locations of the measured points on each part acquired with a coordinate measuring machine or similar instrument.
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del Castillo, E. (2011). Statistical Shape Analysis of Manufacturing Data. In: Colosimo, B., Senin, N. (eds) Geometric Tolerances. Springer, London. https://doi.org/10.1007/978-1-84996-311-4_7
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DOI: https://doi.org/10.1007/978-1-84996-311-4_7
Publisher Name: Springer, London
Print ISBN: 978-1-84996-310-7
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