Abstract
High precision range sensors can be used for measuring 3D point clouds of object surfaces for quality inspection in industrial production. It is often difficult to formally describe acceptable tolerance ranges of real surfaces, especially for deformable objects. Instead of a formal definition, the surface and its tolerance range can rather be given by a set of training samples.
In this paper we describe how to apply the Karhunen-Loève-Transform (KLT) on B-spline surfaces. With this transform, a group of similar surfaces can be described with very few characteristic coefficients in the transformed domain, thus allowing the detection of marginal surface deviations on deformable parts.
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von Enzberg, S., Michaelis, B. (2012). Surface Quality Inspection of Deformable Parts with Variable B-Spline Surfaces. In: Pinz, A., Pock, T., Bischof, H., Leberl, F. (eds) Pattern Recognition. DAGM/OAGM 2012. Lecture Notes in Computer Science, vol 7476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32717-9_18
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DOI: https://doi.org/10.1007/978-3-642-32717-9_18
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