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Knowledge Based Shape from Shading

Nick Barnes, Zhiqiang Liu

Year
2002
Citations
15

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 (grammar)Computer visionArtificial intelligenceFrame (networking)Enhanced Data Rates for GSM EvolutionComputer scienceRobotMatching (statistics)Regular polygonImage (mathematics)

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