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Towards the Integration of Geometric and Appearance-Based Object Recognition

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Shape, Contour and Grouping in Computer Vision

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1681))

Abstract

Progress in object recognition has been relatively slow over the last five years or so. Despite the considerable progress in our understanding due to research in appearance-based methods, invariants and generic models our ability to recog- nize man-made and natural objects in cluttered scenes with complex illumination has not significantly increased.

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References

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Author information

Authors and Affiliations

  1. General Electric Corporate Research and Development, Niskayuna, NY, USA

    Joe Mundy & Tushar Saxena

Authors
  1. Joe Mundy
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  2. Tushar Saxena
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© 1999 Springer-Verlag Berlin Heidelberg

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Mundy, J., Saxena, T. (1999). Towards the Integration of Geometric and Appearance-Based Object Recognition. In: Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science, vol 1681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46805-6_14

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  • DOI: https://doi.org/10.1007/3-540-46805-6_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66722-3

  • Online ISBN: 978-3-540-46805-9

  • eBook Packages: Springer Book Archive

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