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Employing Aspect Hierarchies for Building Detection in Digital Images

  • Conference paper
Mustererkennung 1996

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

We present aspect hierarchies as a modeling approach for controlling processes of feature extraction in computer vision applications. This approach shows the following characteristics: (1) Viewer centered object representation based on the notation of aspect graphs. (2) The integration of domain specific knowledge into the object modeling scheme. (3) An active controlling strategy for the detection of objects within given digital images. We apply this approach within the task of building detection in aerial images.

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References

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© 1996 Springer-Verlag Berlin Heidelberg

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Kort, A., Pogoda, A., Steinhage, V. (1996). Employing Aspect Hierarchies for Building Detection in Digital Images. In: Jähne, B., Geißler, P., Haußecker, H., Hering, F. (eds) Mustererkennung 1996. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80294-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-80294-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61585-9

  • Online ISBN: 978-3-642-80294-2

  • eBook Packages: Springer Book Archive

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