Viewpoint Selection for Complete Surface Coverage of Three Dimensional Objects
Author(s) -
D. R. Roberts,
A. David Marshall
Publication year - 1998
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.12.74
Subject(s) - computer vision , artificial intelligence , computer science , object (grammar) , viewpoints , focus (optics) , single camera , cognitive neuroscience of visual object recognition , stereopsis , robot , face (sociological concept) , stereo camera , ranging , machine vision , object detection , pattern recognition (psychology) , art , telecommunications , social science , physics , sociology , optics , visual arts
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.
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