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    <titleInfo>
        <title>Automated sensor planning for robotic vision tasks</title>
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    <name type="personal">
        <namePart type="family">Tarabanis</namePart>
        <namePart type="given">Kostantinos</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <name type="personal">
        <namePart type="family">Tsai</namePart>
        <namePart type="given">Roger Y.</namePart>
        <role>
            <roleTerm type="text">author</roleTerm>
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    <name type="personal" ID="pka1">
        <namePart type="family">Allen</namePart>
        <namePart type="given">Peter K.</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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    <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.</abstract>
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        <topic>Robotics</topic>
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        <titleInfo>
            <title>Proceedings : 1991 IEEE International Conference on Robotics and Automation, April 9-11, 1991, Sacramento, California</title>
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            <publisher>IEEE</publisher>
            <dateIssued encoding="w3cdtf">1991</dateIssued>
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                <start>76</start>
                <end>82</end>
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        <identifier type="doi">http://dx.doi.org/10.1109/ROBOT.1991.131556</identifier>
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