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      -------- Original Message --------
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Subject:
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            <td>LSD-SLAM: Code Released</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
            <td>Thu, 18 Sep 2014 13:34:41 +0200</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
            <td>Jakob Engel <a class="moz-txt-link-rfc2396E" href="mailto:engelj@in.tum.de"><engelj@in.tum.de></a></td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">To: </th>
            <td>'Jakob Engel' <a class="moz-txt-link-rfc2396E" href="mailto:engelj@in.tum.de"><engelj@in.tum.de></a></td>
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      Dear Colleagues,<br>
      <br>
      We are happy to announce the release of source-code for LSD-SLAM
      on github. <br>
      We also offer a number of example-videos including camera
      calibration & generated map, to get you started. <br>
      The link to the code, documentation and the datasets are available
      here:<br>
      <a moz-do-not-send="true" href="http://vision.in.tum.de/lsdslam">http://vision.in.tum.de/lsdslam</a><br>
      <br>
      We hope LSD-SLAM will be useful and spark interest and further
      research towards <br>
      direct visual SLAM methods. If you use our code or datasets please
      cite the related paper(s):<br>
      <br>
      <span class="bibtitle">* LSD-SLAM: Large-Scale Direct Monocular
        SLAM;  </span><span class="bibauthor">J. Engel, T. Schöps, D.
        Cremers; ECCV '14</span><br>
      PDF: <a moz-do-not-send="true"
        href="https://vision.in.tum.de/_media/spezial/bib/engel14eccv.pdf">https://vision.in.tum.de/_media/spezial/bib/engel14eccv.pdf</a><br>
      <span class="bibtitle">* Semi-Dense Visual Odometry for AR on a
        Smartphone</span>; <span class="bibauthor">T. Schöps, J. Engel,
        D. Cremers</span>; <span class="bibbooktitle">ISMAR '14</span><br>
      PDF: <a moz-do-not-send="true"
        href="http://vision.in.tum.de/_media/spezial/bib/schoeps14ismar.pdf">http://vision.in.tum.de/_media/spezial/bib/schoeps14ismar.pdf</a><br>
      <span class="bibtitle">* Semi-Dense Visual Odometry for a
        Monocular Camera</span>; <span class="bibauthor">J. Engel, J.
        Sturm, D. Cremers; ICCV '13</span><br>
      PDF: <a moz-do-not-send="true"
        href="http://vision.in.tum.de/_media/spezial/bib/engel2013iccv.pdf">http://vision.in.tum.de/_media/spezial/bib/engel2013iccv.pdf</a><br>
      <br>
      <br>
      The code is released under GPLv3, however we also offer
      closed-source (commercial) licensing models.<br>
      <br>
      Best Regards,<br>
      Jakob Engel, Thomas Schöps, Daniel Cremers<br>
      <br>
      <div class="moz-signature">-- <br>
        <font color="gray">Jakob Engel <br>
          Computer Vision Group, TU Munich <br>
          Boltzmannstrasse 3 <br>
          85748 Garching, Germany <br>
          Tel: +49-89-289-17750 <br>
          <a moz-do-not-send="true"
            href="http://vision.in.tum.de/members/engelj">http://vision.in.tum.de/members/engelj</a>
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