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Knowledge Based Shape from Shading

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Knowledge-Based Vision-Guided Robots

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 103))

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Abstract

Edge-based matching can differentiate many objects, however, it is inadequate for discriminating objects with a similar wire-frame. This chapter presents a method for extracting the shape of an object from a single image when knowledge about the object is available. The main application in our architecture is for shape-based verification of edge-based matches, where shape derived from the image will be checked against the shape for the candidate model view of the object. A second application is where a robot needs to recover object shape when it has only a wire-frame model,1 and it has to move close to the object due to obstacles or task requirements. Navigating entirely on the basis of the wire-frame may lead to a collision with a convex curved surface, even though the robot is clear of the object as modelled by the wire-frame, as shown in Figure 6.1.

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© 2002 Physica-Verlag Heidelberg

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Barnes, N., Liu, ZQ. (2002). Knowledge Based Shape from Shading. In: Knowledge-Based Vision-Guided Robots. Studies in Fuzziness and Soft Computing, vol 103. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1780-5_6

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  • DOI: https://doi.org/10.1007/978-3-7908-1780-5_6

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00312-1

  • Online ISBN: 978-3-7908-1780-5

  • eBook Packages: Springer Book Archive

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