Abstract
We propose a new object matching algorithm which can separate overlapping objects and which is robust against erroneous data. The algorithm is based on the well-known ICP (Iterative Closest Point) algorithm. However, all published contributions to the ICP algorithm can’t provide a proper segmentation of the input data. A Fuzzy ICP algorithm can handle these problems by a fuzzy membership valuation at each iteration level. Furthermore, we introduce an evidence accumulation algorithm which allows a determination of the best match.
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© 1996 Springer-Verlag Berlin Heidelberg
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Krebs, B., Sieverding, P., Korn, B. (1996). Correct 3D Matching via a Fuzzy ICP Algorithm for Arbitrary Shaped Objects. In: Jähne, B., Geißler, P., Haußecker, H., Hering, F. (eds) Mustererkennung 1996. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80294-2_54
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DOI: https://doi.org/10.1007/978-3-642-80294-2_54
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