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Recovering Generalized Cylinders by monocular vision

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Object Representation in Computer Vision II (ORCV 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1144))

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Abstract

In this paper, we propose a theoretical study of the Generalized Cylinders (GC) with constant circular cross-section viewed under perspective projection.

We show that a single view of the object make it possible to infer its 3D shape. Two algorithms are described. The first method is based on the matching between two contour points from a same cross-section and each cross-section is separately modeled. The second algorithm uses a global model, parameterized with a BSpline curve. The model shape is twisted from an initial position until the limb projection fits the image content. With such an approach the matching problem between image points from the same cross-section is avoided and the global shape is estimated through a minimization process. Experiments on real data are provided, which prove the validity of the two approaches.

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Authors and Affiliations

  1. Laboratoire des Sciences et Matériaux pour l'Electronique, et d'Automatique, URA 1793 of the CNRS, Université Blaise-Pascal de Clermont-Ferrand, F-63177, Aubière Cedex, France

    Patrick Sayd, Michel Dhome & Jean-Marc Lavest

Authors
  1. Patrick Sayd
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  2. Michel Dhome
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  3. Jean-Marc Lavest
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Jean Ponce Andrew Zisserman Martial Hebert

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© 1996 Springer-Verlag Berlin Heidelberg

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Sayd, P., Dhome, M., Lavest, JM. (1996). Recovering Generalized Cylinders by monocular vision. In: Ponce, J., Zisserman, A., Hebert, M. (eds) Object Representation in Computer Vision II. ORCV 1996. Lecture Notes in Computer Science, vol 1144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61750-7_22

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  • DOI: https://doi.org/10.1007/3-540-61750-7_22

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  • Print ISBN: 978-3-540-61750-1

  • Online ISBN: 978-3-540-70673-1

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