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Verification of Hypotheses Generated by Case-Based Reasoning Object Matching

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Combinatorial Image Analysis (IWCIA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10256))

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Abstract

Case-based reasoning object-matching consists of the methods at choice when the objects can be identified by case models. The result of the matching process is a number of hypotheses for the true shape of the objects. These hypotheses have to be verified in a hypothesis-verification process. In this paper we review what has been done so far and present our hypothesis-verification rules. The rules are evaluated and the results are discussed and presented in images. We consider two different hypothesis-verification rules, one is based on set-theory and the other one is based on statistical measures. Finally, we describe the results achieved so far and give an outlook about further work.

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Notes

  1. 1.

    The matching process lists all matched objects sorted by the scale whereas objects with the same scale are sorted by the rotation.

References

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Author information

Authors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, IBaI, PSF 301114, 04251, Leipzig, Germany

    Petra Perner

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  1. Petra Perner
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Correspondence to Petra Perner .

Editor information

Editors and Affiliations

  1. SUNY Buffalo State, Buffalo, New York, USA

    Valentin E. Brimkov

  2. Department of Applied Professional Studies, SUNY Fredonia, Fredonia, New York, USA

    Reneta P. Barneva

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Perner, P. (2017). Verification of Hypotheses Generated by Case-Based Reasoning Object Matching. In: Brimkov, V., Barneva, R. (eds) Combinatorial Image Analysis. IWCIA 2017. Lecture Notes in Computer Science(), vol 10256. Springer, Cham. https://doi.org/10.1007/978-3-319-59108-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-59108-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59107-0

  • Online ISBN: 978-3-319-59108-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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