Abstract
This paper presents a data-driven approach to profile fitting where global constraints are imposed to local measurements. The local measurements are obtained from partial analysis of the objects under consideration. Prior knowledge of the object under analysis provides global constraints. To illustrate these concepts, it is developed the exercise of measuring a gear’s boundary from its teeth profile. A framework is developed to extract local parameters from frame to frame and to enforce morphologic constraints over the whole sequence. It is shown how a combination of accurate local processing techniques and global knowledge can solve the tradeoff between what can be perceived locally and interpreted globally.
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Salas, J. (2004). Global Interpretation and Local Analysis to Measure Gears Eccentricity. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_84
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DOI: https://doi.org/10.1007/978-3-540-30463-0_84
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