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Knowledge Based Shape from Shading

  • Nick Barnes
  • Zhi-Qiang Liu
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 103)

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.

Keywords

Object Recognition Face Image Surface Normal Pixel Location Early Vision Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2002

Authors and Affiliations

  • Nick Barnes
    • 1
  • Zhi-Qiang Liu
    • 2
  1. 1.Department of Computer Science and Software EngineeringUniversity of MelbourneVictoriaAustralia
  2. 2.School of Creative MediaCity University of Hong-KongHong KongP. R. China

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