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Object recognition: The search for representation

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Object Representation in Computer Vision (ORCV 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 994))

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Abstract

Object recognition in visual scenes by computer has proven to be more difficult than anyone would have thought three decades ago, at the beginning of the research program to achieve this goal. A central issue for further progress is the design and effective implementation of an object representation which captures all of the requirements for description and perceptual organization. In this paper, the major issues surrounding the development of such a representation are established and placed in the setting of relatively recent discoveries in the philosophy of recognition and object classification. From this viewpoint, definitions for representation, recognition, identification and classification are established and related to standard approaches to object recognition in visual scenes.

The use of biological models and introspection as a source of design ideas for representation is discussed. It is argued that the most profitable source of ideas will emerge from an engineering approach, based on principles from geometric reasoning, photogrammetry. and signal processing. The role of context in object recognition is outlined with emphasis on its use throughout all of stages of recognition. The paper concludes with a description of a object recognition system, called MORSE, which embodies many of the principles derived from these philosophical considerations.

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Authors and Affiliations

  1. Corporate Research Center, General Electric, Schenectady, NY

    J. L. Mundy

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  1. J. L. Mundy
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Editor information

Martial Hebert Jean Ponce Terry Boult Ari Gross

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© 1995 Springer-Verlag Berlin Heidelberg

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Mundy, J.L. (1995). Object recognition: The search for representation. In: Hebert, M., Ponce, J., Boult, T., Gross, A. (eds) Object Representation in Computer Vision. ORCV 1994. Lecture Notes in Computer Science, vol 994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60477-4_2

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  • DOI: https://doi.org/10.1007/3-540-60477-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60477-8

  • Online ISBN: 978-3-540-47526-2

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