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        <title type="main" level="a">Moving parameterization</title>
        <author>
          <persName n="1" ref="https://orcid.org/0009-0003-9116-9978" type="ORCID">
            <forename>Sofia</forename>
            <surname>Imperatore</surname>
            <placeName type="affiliation">Technical University of Eindhoven, Netherlands</placeName>
          </persName>
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          <resp>This is a section of <title>Adaptive spline approximation: data-driven parameterization and CAD model (re-)construction</title>(DOI: <idno type="DOI">10.36253/979-12-215-1002-7</idno>) by </resp>
          <name>Sofia Imperatore</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2026">2026</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-1002-7.09</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by/4.0/legalcode">
            <p>Content licence CC BY 4.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>In this Chapter, we present adaptive spline model reconstruction schemes with moving parameterization. In particular, we propose adaptive alternating and joint optimization methods to optimize the parameter locations and the control points of (hierarchical) spline geometric models.</p>
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            <item>Moving parameterization</item>
            <item>alternating spline fitting</item>
            <item>joint optimization</item>
            <item>foot-point projection</item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-1002-7.09<ref target="https://doi.org/10.36253/979-12-215-1002-7.09" /></p>
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