Abstract
The paper describes a concept for object location, when not only image features but also the model description is uncertain. It contains a method for probabilistic clustering, robust estimation and a measure for evaluating both, inaccurate and missing image features. The location of topographic control points in digitized aerial images demonstrates the feasibility of the procedure and the usefulness of the evaluation criteria.
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© 1989 Springer-Verlag Berlin Heidelberg
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Sester, M., Förstner, W. (1989). Object Location Based on Uncertain Models. In: Burkhardt, H., Höhne, K.H., Neumann, B. (eds) Mustererkennung 1989. Informatik-Fachberichte, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75102-8_68
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DOI: https://doi.org/10.1007/978-3-642-75102-8_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51748-1
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