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A Parametric Method of Shape-from-Shading and Experimental Comparisons

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Mustererkennung 1997

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

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Abstract

In this paper, we present a new method of shape from shading by using radial basis functions to parameterize the object depth. The radial basis functions are deformed by adjusting their centers, widths, and weights such that the intensity errors are minimized. An important feature of our parametric shape-from-shading method is that it offers an unified framework for integration of multiple sensory information. We show that both quantitative and qualitative knowledge about surface depth and/or surface normals anywhere in the image can be easily incorporated into the shape from shading process. Experimental comparisons of our method with several existing ones are made by using both synthetic and real images.

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Author information

Authors and Affiliations

  1. Institute of Robotics and System Dynamics, German Aerospace Research Establishment (DLR), 82234, Oberpfaffenhofen, Germany

    Guo-Qing Wei & G. Hirzinger

Authors
  1. Guo-Qing Wei
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  2. G. Hirzinger
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Editor information

Editors and Affiliations

  1. Institut für Nachrichtentechnik, Technische Universität Braunschweig, Schleinitzstrasse 22, D-38092, Braunschweig, Deutschland

    Erwin Paulus

  2. Institut für Robotik und Prozeßinformatik, Technische Universität Braunschweig, Hamburger Strasse 267, D-38114, Braunschweig, Deutschland

    Friedrich M. Wahl

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© 1997 Springer-Verlag Berlin Heidelberg

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Wei, GQ., Hirzinger, G. (1997). A Parametric Method of Shape-from-Shading and Experimental Comparisons. In: Paulus, E., Wahl, F.M. (eds) Mustererkennung 1997. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60893-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-60893-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63426-3

  • Online ISBN: 978-3-642-60893-3

  • eBook Packages: Springer Book Archive

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