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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010350</journal-id>
      <journal-title>Color and Imaging Conference</journal-title>
      <abbrev-journal-title>color imaging conf</abbrev-journal-title>
      <issn pub-type="ppub">2166-9635</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2169-2629.2017.32.310</article-id>
      <article-id pub-id-type="sici">2166-9635(20161107)2016:1L.310;1-</article-id>
      <article-id pub-id-type="publisher-id">s55.phd</article-id>
      <article-id pub-id-type="other">/ist/cic/2016/00002016/00000001/art00055</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Color Homography Color Correction</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Finlayson</surname>
            <given-names>Graham D.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Gong</surname>
            <given-names>Han</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Fisher</surname>
            <given-names>Robert B.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>07</day>
        <month>11</month>
        <year>2016</year>
      </pub-date>
      <volume>2016</volume>
      <issue>1</issue>
      <fpage>310</fpage>
      <lpage>314</lpage>
      <permissions>
        <copyright-year>2016</copyright-year>
      </permissions>
      <abstract>
        <p>Homographies – a mathematical formalism for relating image points across different camera viewpoints – are at the foundations of geometric methods in computer vision and are used in geometric camera calibration, image registration, and stereo vision and other tasks. In this
 paper, we show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are also related by a homography. We propose a new color correction method based on color homography. Experiments demonstrate that solving the color homography problem
 leads to more accurate calibration.</p>
      </abstract>
    </article-meta>
  </front>
</article>
