Home /Research /Automated sensor planning for robotic vision tasks
OTHER

Automated sensor planning for robotic vision tasks

Konstantinos Tarabanis, R. Tsai, Peter K. Allen

Year
2002
Citations
98

Abstract

A method is presented to determine viewpoints for a robotic vision system for which object features of interest will simultaneously by visible, inside the field-of-view, in-focus, and magnified as required. A technique that poses the problem in an optimization setting in order to determine viewpoints that satisfy all requirements simultaneously and with a margin is presented. The formulation and results of the optimization are shown, as well as experimental results in which a robot vision system is positioned and its lens is set according to this method. Camera views are taken from the computed viewpoints in order to verify that all feature detectability requirements are satisfied.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

ViewpointsArtificial intelligenceComputer visionComputer scienceFocus (optics)Set (abstract data type)Feature (linguistics)Margin (machine learning)Machine visionObject (grammar)

Related papers

Browse all OTHER papers