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Viewpoint Selection for Complete Surface Coverage of Three Dimensional Objects

D. R. Roberts, A. David Marshall

Year
1998
Citations
49

Abstract

Many machine vision tasks, e.g. object recognition and object inspection, cannot be performed robustly from a single image. For certain tasks (e.g. 3D object recognition and automated inspection) the availability of multiple views of an object is a requirement. This paper presents a novel approach to selecting a minimised number of views that allow each object face to be adequately viewed according to specified constraints on viewpoints and other features. The planner is generic and can be employed for a wide range of multiple view acquisition systems, ranging from camera systems mounted on the end of a robot arm, i.e. an eye-in-hand camera setup, to a turntable and fixed stereo cameras to allow different views of an object to be obtained. The results (both simulated and real) given focus on planning with a fixed camera and turntable. 1 Introduction Considerable research in machine vision has been directed at object recognition and object inspection. For complete 3D recogn...

Keywords

Computer visionArtificial intelligenceComputer scienceObject (grammar)ViewpointsFocus (optics)Single cameraCognitive neuroscience of visual object recognitionStereopsisRobot

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