Abstract
Restricting the goal of multisensing to object identification, we examine the problem of integrating multisensor information. We review statistical pattern classifiers, neural networks, and knowledge based systems, with the aim of making explicit their relevance to multisensor information integration for object identification. We will first recall the relevance of statistical pattern classification with a brief summary of a number of relevant results; we will then give an introduction to neural networks; finally, we summarize the basic concepts of knowledge based systems.
This work was supported in part by the Natural Sciences and Engineering Research Council of Canada under grant NSERC-A4234
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© 1993 Springer-Verlag Berlin Heidelberg
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Mitiche, A., Laganière, R., Henderson, T. (1993). Multisensor Information Integration for Object Identification. In: Aggarwal, J.K. (eds) Multisensor Fusion for Computer Vision. NATO ASI Series, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02957-2_15
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DOI: https://doi.org/10.1007/978-3-662-02957-2_15
Publisher Name: Springer, Berlin, Heidelberg
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