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    <titleInfo>
        <title>A robotic system for 3D model acquisition from multiple range images</title>
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        <namePart type="family">Reed</namePart>
        <namePart type="given">Michael K.</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
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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>This paper describes a robotic system that builds a 3D CAD model of an object incrementally from multiple range images. It motivates the generation of a solid model at each stage of the modeling process, allowing the use of well-defined geometric algorithms to perform the merging and integration task. The data from each imaging operation is represented by a mesh, which is then extruded in the viewing direction to form a solid model. These solids are merged as they are acquired into a composite model of the object. We describe an algorithm that builds a solid model from a mesh surface and present experimental results of reconstructing a complex object. In addition, we discuss an approach to completely automating the model acquisition process by integration with previous sensor-planning results.</abstract>
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        <topic>Robotics</topic>
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            <title>Proceedings of 1997 IEEE International Conference on Robotics and Automation, April 20-25, 1997, Albuquerque, New Mexico</title>
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            <publisher>IEEE</publisher>
            <dateIssued encoding="w3cdtf">1997</dateIssued>
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        <identifier type="doi">http://dx.doi.org/10.1109/ROBOT.1997.619338</identifier>
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    <identifier type="hdl">http://hdl.handle.net/10022/AC:P:15219</identifier>
    
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