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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</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.2470-1173.2016.20.COLOR-324</article-id>
      <article-id pub-id-type="sici">2470-1173(20160214)2016:20L.1;1-</article-id>
      <article-id pub-id-type="publisher-id">s18.phd</article-id>
      <article-id pub-id-type="other">/ist/ei/2016/00002016/00000020/art00018</article-id>
      <article-categories>
        <subj-group>
          <subject/>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Using a Data-bearing Frame to Capture an Extended Target</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Ulichney</surname>
            <given-names>Robert</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Gaubatz</surname>
            <given-names>Matthew</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Tai</surname>
            <given-names>Chun-Jung</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Pollard</surname>
            <given-names>Stephen</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Gottwals</surname>
            <given-names>Melanie</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Tastl</surname>
            <given-names>Ingeborg</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>14</day>
        <month>02</month>
        <year>2016</year>
      </pub-date>
      <volume>2016</volume>
      <issue>20</issue>
      <fpage>1</fpage>
      <lpage>6</lpage>
      <permissions>
        <copyright-year>2016</copyright-year>
      </permissions>
      <abstract>
        <p>A system for the automatic detection of the entirety of an arbitrary image target is described. This is achieved by surrounding the target image with a data-bearing halftone or "StegaFrame" and by a camera-based detection system that can efficiently find the StegaFrame by means of judiciously
 placed detection windows. The frequency-domain-based detection scheme is fast and provides the added advantage of estimating scale and orientation of the desired content. An intuitive user interface guides the user until a successful detection is achieved. This approach is demonstrated in
 an application to locate and analyze a color chart for the purpose of calibrating a mobile device to be able to measure skin tone. An identifier to access print-run specific colorimetry data, along with other data for client analytics is embedded in the data-bearing border. The design of the
 detection system is optimized through exhaustive simulation. Experimental results confirm that the automated scheme, implemented on a mobile phone, performs as well as costly dedicated colorimetric hardware.</p>
      </abstract>
    </article-meta>
  </front>
</article>
