Abstract
Orthogonal distance fitting (ODF) estimates the parameters of a model feature by minimizing the square sum of the shortest distances (geometric distances) between the model feature and the given points. Due to the applied error measure, the ODF is a substantial mathematical tool for many scientific and engineering disciplines in which coordinate data and dimensional models are processed.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ahn, S.J. (2004). 6. Conclusions. In: Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space. Lecture Notes in Computer Science, vol 3151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28627-1_6
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DOI: https://doi.org/10.1007/978-3-540-28627-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23966-6
Online ISBN: 978-3-540-28627-1
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