var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"http://maskor.fh-aachen.de/biblio/MASKOR.bib\",\"jsonp\":\"1\",\"filter\":\"keyword:BodyScanner\",\"host\":\"bibbase.org\"},\n      data: [{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"author\":[{\"firstnames\":[\"Faraj\"],\"propositions\":[],\"lastnames\":[\"Alhwarin\"],\"suffixes\":[]},{\"firstnames\":[\"Alexander\"],\"propositions\":[],\"lastnames\":[\"Ferrein\"],\"suffixes\":[]},{\"firstnames\":[\"Ingrid\"],\"propositions\":[],\"lastnames\":[\"Scholl\"],\"suffixes\":[]}],\"title\":\"IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo\",\"booktitle\":\"PRICAI 2014: Trends in Artificial Intelligence - Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence\",\"editor\":[{\"firstnames\":[\"Duc\",\"Nghia\"],\"propositions\":[],\"lastnames\":[\"Pham\"],\"suffixes\":[]},{\"firstnames\":[\"Seong-Bae\"],\"propositions\":[],\"lastnames\":[\"Park\"],\"suffixes\":[]}],\"series\":\"Lecture Notes in Computer Science\",\"year\":\"2014\",\"pages\":\"409–421\",\"url\":\"http://dx.doi.org/10.1007/978-3-319-13560-1_33\",\"doi\":\"http://doi.dx.org/10.1007/978-3-319-13560-1_33\",\"volume\":\"8862\",\"publisher\":\"Springer\",\"timestamp\":\"Fri, 14 Nov 2014 21:58:50 +0100\",\"biburl\":\"http://dblp.uni-trier.de/rec/bib/conf/pricai/AlhwarinFS14\",\"bibsource\":\"dblp computer science bibliography, http://dblp.org\",\"keywords\":\"BodyScanner\",\"bibtex\":\"@inCollection{FS14b,\\n  author    = {Faraj Alhwarin and Alexander Ferrein and Ingrid Scholl},\\n  title     = {{IR} Stereo Kinect: Improving Depth Images by Combining Structured\\n               Light with {IR} Stereo},\\n  booktitle = {{PRICAI} 2014: Trends in Artificial Intelligence -\\n                  Proceedings of the 13th Pacific Rim International\\n                  Conference on Artificial Intelligence},\\neditor    = {Duc Nghia Pham and Seong{-}Bae Park},\\n  series    = {Lecture Notes in Computer Science},\\n  year      = {2014},\\n  pages     = {409--421},\\n  url       = {http://dx.doi.org/10.1007/978-3-319-13560-1_33},\\n  doi       = {http://doi.dx.org/10.1007/978-3-319-13560-1_33},\\n  volume    = {8862},\\n  publisher = {Springer},\\n  timestamp = {Fri, 14 Nov 2014 21:58:50 +0100},\\n  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/pricai/AlhwarinFS14},\\n  bibsource = {dblp computer science bibliography, http://dblp.org},\\n  keywords  = {BodyScanner},\\n}\\n\\n\\n\\n\\n\",\"author_short\":[\"Alhwarin, F.\",\"Ferrein, A.\",\"Scholl, I.\"],\"editor_short\":[\"Pham, D. N.\",\"Park, S.\"],\"key\":\"FS14b\",\"id\":\"FS14b\",\"bibbaseid\":\"alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://dx.doi.org/10.1007/978-3-319-13560-1_33\"},\"keyword\":[\"BodyScanner\"],\"metadata\":{\"authorlinks\":{\"alhwarin, f\":\"https://maskor.fh-aachen.de/projects/BodyScanner/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Faraj\"],\"propositions\":[],\"lastnames\":[\"Alhwarin\"],\"suffixes\":[]},{\"firstnames\":[\"Alexander\"],\"propositions\":[],\"lastnames\":[\"Ferrein\"],\"suffixes\":[]},{\"firstnames\":[\"Ingrid\"],\"propositions\":[],\"lastnames\":[\"Scholl\"],\"suffixes\":[]}],\"title\":\"IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo\",\"booktitle\":\"RGB-D: Advanced Reasoning with Depth Cameras\",\"year\":\"2014\",\"keywords\":\"BodyScanner\",\"bibtex\":\"@InProceedings{AlhwarinFS14,\\n  author = \\t {Faraj Alhwarin and Alexander Ferrein and Ingrid Scholl},\\n  title = \\t {IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo},\\n  booktitle =    {RGB-D: Advanced Reasoning with Depth Cameras},\\n  year = \\t {2014},\\n  keywords  = {BodyScanner},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Alhwarin, F.\",\"Ferrein, A.\",\"Scholl, I.\"],\"key\":\"AlhwarinFS14\",\"id\":\"AlhwarinFS14\",\"bibbaseid\":\"alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"BodyScanner\"],\"metadata\":{\"authorlinks\":{\"alhwarin, f\":\"https://maskor.fh-aachen.de/projects/BodyScanner/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Faraj\"],\"propositions\":[],\"lastnames\":[\"Alhwarin\"],\"suffixes\":[]},{\"firstnames\":[\"Stefan\"],\"propositions\":[],\"lastnames\":[\"Schiffer\"],\"suffixes\":[]},{\"firstnames\":[\"Alexander\"],\"propositions\":[],\"lastnames\":[\"Ferrein\"],\"suffixes\":[]},{\"firstnames\":[\"Ingrid\"],\"propositions\":[],\"lastnames\":[\"Scholl\"],\"suffixes\":[]}],\"editor\":[{\"firstnames\":[\"Sheldon\"],\"propositions\":[],\"lastnames\":[\"Wiebe\"],\"suffixes\":[]},{\"firstnames\":[\"Hugo\"],\"propositions\":[],\"lastnames\":[\"Gamboa\"],\"suffixes\":[]},{\"firstnames\":[\"Ana\",\"L.\",\"N.\"],\"propositions\":[],\"lastnames\":[\"Fred\"],\"suffixes\":[]},{\"firstnames\":[\"Sergi\",\"Bermúdez\"],\"propositions\":[\"i\"],\"lastnames\":[\"Badia\"],\"suffixes\":[]}],\"title\":\"Optimized KinectFusion Algorithm for 3D Scanning Applications\",\"booktitle\":\"Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) \",\"volume\":\"2: BIOIMAGING\",\"pages\":\"50–57\",\"publisher\":\"SciTePress\",\"isbn\":\"978-989-758-278-3\",\"year\":\"2018\",\"doi\":\"10.5220/0006594700500057\",\"url_scitepress\":\"http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&t=1\",\"note\":\"Best Paper Candidate (Short Listed)\",\"keywords\":\"BodyScanner\",\"abstract\":\"KinectFusion is an effective way to reconstruct indoor scenes. It takes a depth image stream and uses the iterative closests point (ICP) method to estimate the camera motion. Then it merges the images in a volume to construct a 3D model. The model accuracy is not satisfactory for certain applications such as scanning a human body to provide information about bone structure health. For one reason, camera noise and noise in the ICP method limit the accuracy. For another, the error in estimating the global camera poses accumulates. In this paper, we present a method to optimize KinectFusion for 3D scanning in the above scenarios. We aim to reduce the noise influence on camera pose tracking. The idea is as follows: in our application scenarios we can always assume that either the camera rotates around the object to be scanned or that the object rotates in front of the camera. In both cases, the relative camera/object pose is located on a 3D-circle. Therefore, camera motion can be described as a rotation around a fixed axis passing through a fixed point. Since the axis and the center of rotation are always fixed, the error averaging principle can be utilized to reduce the noise impact and hence to enhance the 3D model accuracy of scanned object.\",\"bibtex\":\"@inproceedings{Alhwarin0FS18,\\n  author    = {Faraj Alhwarin and Stefan Schiffer and Alexander Ferrein and Ingrid Scholl},\\n  editor    = {Sheldon Wiebe and Hugo Gamboa and Ana L. N. Fred and Sergi Berm{\\\\'{u}}dez i Badia},\\n  title     = {{Optimized KinectFusion Algorithm for 3D Scanning Applications}},\\n  booktitle = {Proceedings of the 11th International Joint Conference on Biomedical\\n               Engineering Systems and Technologies ({BIOSTEC} 2018) },\\n  volume       = {2: BIOIMAGING},\\n  pages     = {50--57},\\n  publisher = {SciTePress},\\n  isbn      = {978-989-758-278-3},\\n  year      = {2018},\\n  doi          = {10.5220/0006594700500057},\\n  url_scitepress = {http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&t=1},\\n  note      = {Best Paper Candidate (Short Listed)},\\n  keywords  = {BodyScanner},\\n  abstract     = {KinectFusion is an effective way to reconstruct\\n                  indoor scenes. It takes a depth image stream and\\n                  uses the iterative closests point (ICP) method to\\n                  estimate the camera motion. Then it merges the\\n                  images in a volume to construct a 3D model. The\\n                  model accuracy is not satisfactory for certain\\n                  applications such as scanning a human body to\\n                  provide information about bone structure health. For\\n                  one reason, camera noise and noise in the ICP method\\n                  limit the accuracy. For another, the error in\\n                  estimating the global camera poses accumulates. In\\n                  this paper, we present a method to optimize\\n                  KinectFusion for 3D scanning in the above\\n                  scenarios. We aim to reduce the noise influence on\\n                  camera pose tracking. The idea is as follows: in our\\n                  application scenarios we can always assume that\\n                  either the camera rotates around the object to be\\n                  scanned or that the object rotates in front of the\\n                  camera. In both cases, the relative camera/object\\n                  pose is located on a 3D-circle. Therefore, camera\\n                  motion can be described as a rotation around a fixed\\n                  axis passing through a fixed point. Since the axis\\n                  and the center of rotation are always fixed, the\\n                  error averaging principle can be utilized to reduce\\n                  the noise impact and hence to enhance the 3D model\\n                  accuracy of scanned object.},\\n}\\n\\n\",\"author_short\":[\"Alhwarin, F.\",\"Schiffer, S.\",\"Ferrein, A.\",\"Scholl, I.\"],\"editor_short\":[\"Wiebe, S.\",\"Gamboa, H.\",\"Fred, A. L. N.\",\"i Badia, S. B.\"],\"key\":\"Alhwarin0FS18\",\"id\":\"Alhwarin0FS18\",\"bibbaseid\":\"alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018\",\"role\":\"author\",\"urls\":{\" scitepress\":\"http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&t=1\"},\"keyword\":[\"BodyScanner\"],\"metadata\":{\"authorlinks\":{\"schiffer, s\":\"https://kbsg.rwth-aachen.de/~schiffer/\",\"alhwarin, f\":\"https://maskor.fh-aachen.de/projects/BodyScanner/\"}},\"downloads\":5,\"html\":\"\"}],\n      metadata: {\"owner\":\"alhwarin, f\",\"authorlinks\":{\"alhwarin, f\":\"https://maskor.fh-aachen.de/projects/BodyScanner/\"}},\n      ownerID: \"3RrAGQZ2HWhvCvj6Q\"\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&amp;t=1\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018', 'http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&amp;t=1', event);\">\n    Optimized KinectFusion Algorithm for 3D Scanning Applications.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://maskor.fh-aachen.de/projects/BodyScanner/\">Alhwarin, F.</a>; <a class=\"bibbase author link\" href=\"https://kbsg.rwth-aachen.de/~schiffer/\">Schiffer, S.</a>; Ferrein, A.;  and Scholl, I.\n</span>\n\n  \n\n</span>\n\n  In Wiebe, S.; Gamboa, H.; Fred, A. L. N.;  and i Badia, S. B., editor(s), <i>Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) </i>, volume 2: BIOIMAGING, pages 50–57,  2018. SciTePress\n  <span class=\"note\">Best Paper Candidate (Short Listed)</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&amp;t=1\"\n     onclick=\"log_download('alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018', 'http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&amp;t=1', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Optimized KinectFusion Algorithm for 3D Scanning Applications [link]\"\n       title=\" scitepress\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> scitepress</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.5220/0006594700500057\"\n     onclick=\"log_download('alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018', 'http://doi.org/10.5220/0006594700500057', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alhwarin-schiffer-ferrein-scholl-optimizedkinectfusionalgorithmfor3dscanningapplications-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Alhwarin0FS18,\n  author    = {Faraj Alhwarin and Stefan Schiffer and Alexander Ferrein and Ingrid Scholl},\n  editor    = {Sheldon Wiebe and Hugo Gamboa and Ana L. N. Fred and Sergi Berm{\\&#x27;{u}}dez i Badia},\n  title     = {{Optimized KinectFusion Algorithm for 3D Scanning Applications}},\n  booktitle = {Proceedings of the 11th International Joint Conference on Biomedical\n               Engineering Systems and Technologies ({BIOSTEC} 2018) },\n  volume       = {2: BIOIMAGING},\n  pages     = {50--57},\n  publisher = {SciTePress},\n  isbn      = {978-989-758-278-3},\n  year      = {2018},\n  doi          = {10.5220/0006594700500057},\n  url_scitepress = {http://www.scitepress.org/PublicationsDetail.aspx?ID=dZs8lGPb760=&amp;t=1},\n  note      = {Best Paper Candidate (Short Listed)},\n  keywords  = {BodyScanner},\n  abstract     = {KinectFusion is an effective way to reconstruct\n                  indoor scenes. It takes a depth image stream and\n                  uses the iterative closests point (ICP) method to\n                  estimate the camera motion. Then it merges the\n                  images in a volume to construct a 3D model. The\n                  model accuracy is not satisfactory for certain\n                  applications such as scanning a human body to\n                  provide information about bone structure health. For\n                  one reason, camera noise and noise in the ICP method\n                  limit the accuracy. For another, the error in\n                  estimating the global camera poses accumulates. In\n                  this paper, we present a method to optimize\n                  KinectFusion for 3D scanning in the above\n                  scenarios. We aim to reduce the noise influence on\n                  camera pose tracking. The idea is as follows: in our\n                  application scenarios we can always assume that\n                  either the camera rotates around the object to be\n                  scanned or that the object rotates in front of the\n                  camera. In both cases, the relative camera/object\n                  pose is located on a 3D-circle. Therefore, camera\n                  motion can be described as a rotation around a fixed\n                  axis passing through a fixed point. Since the axis\n                  and the center of rotation are always fixed, the\n                  error averaging principle can be utilized to reduce\n                  the noise impact and hence to enhance the 3D model\n                  accuracy of scanned object.},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  KinectFusion is an effective way to reconstruct indoor scenes. It takes a depth image stream and uses the iterative closests point (ICP) method to estimate the camera motion. Then it merges the images in a volume to construct a 3D model. The model accuracy is not satisfactory for certain applications such as scanning a human body to provide information about bone structure health. For one reason, camera noise and noise in the ICP method limit the accuracy. For another, the error in estimating the global camera poses accumulates. In this paper, we present a method to optimize KinectFusion for 3D scanning in the above scenarios. We aim to reduce the noise influence on camera pose tracking. The idea is as follows: in our application scenarios we can always assume that either the camera rotates around the object to be scanned or that the object rotates in front of the camera. In both cases, the relative camera/object pose is located on a 3D-circle. Therefore, camera motion can be described as a rotation around a fixed axis passing through a fixed point. Since the axis and the center of rotation are always fixed, the error averaging principle can be utilized to reduce the noise impact and hence to enhance the 3D model accuracy of scanned object.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2014\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2014')\"\n      onkeypress=\"toggleGroup('group_2014')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2014</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://dx.doi.org/10.1007/978-3-319-13560-1_33\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014', 'http://dx.doi.org/10.1007/978-3-319-13560-1_33', event);\">\n    IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://maskor.fh-aachen.de/projects/BodyScanner/\">Alhwarin, F.</a>; Ferrein, A.;  and Scholl, I.\n</span>\n\n  \n\n</span>\n\n  In Pham, D. N.;  and Park, S., editor(s), <i>PRICAI 2014: Trends in Artificial Intelligence - Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence</i>, volume 8862, of Lecture Notes in Computer Science, pages 409–421. Springer,  2014.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://dx.doi.org/10.1007/978-3-319-13560-1_33\"\n     onclick=\"log_download('alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014', 'http://dx.doi.org/10.1007/978-3-319-13560-1_33', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/http://doi.dx.org/10.1007/978-3-319-13560-1_33\"\n     onclick=\"log_download('alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014', 'http://doi.org/http://doi.dx.org/10.1007/978-3-319-13560-1_33', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inCollection{FS14b,\n  author    = {Faraj Alhwarin and Alexander Ferrein and Ingrid Scholl},\n  title     = {{IR} Stereo Kinect: Improving Depth Images by Combining Structured\n               Light with {IR} Stereo},\n  booktitle = {{PRICAI} 2014: Trends in Artificial Intelligence -\n                  Proceedings of the 13th Pacific Rim International\n                  Conference on Artificial Intelligence},\neditor    = {Duc Nghia Pham and Seong{-}Bae Park},\n  series    = {Lecture Notes in Computer Science},\n  year      = {2014},\n  pages     = {409--421},\n  url       = {http://dx.doi.org/10.1007/978-3-319-13560-1_33},\n  doi       = {http://doi.dx.org/10.1007/978-3-319-13560-1_33},\n  volume    = {8862},\n  publisher = {Springer},\n  timestamp = {Fri, 14 Nov 2014 21:58:50 +0100},\n  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/pricai/AlhwarinFS14},\n  bibsource = {dblp computer science bibliography, http://dblp.org},\n  keywords  = {BodyScanner},\n}\n\n\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://maskor.fh-aachen.de/projects/BodyScanner/\">Alhwarin, F.</a>; Ferrein, A.;  and Scholl, I.\n</span>\n\n  \n\n</span>\n\n  In <i>RGB-D: Advanced Reasoning with Depth Cameras</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alhwarin-ferrein-scholl-irstereokinectimprovingdepthimagesbycombiningstructuredlightwithirstereo-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{AlhwarinFS14,\n  author = \t {Faraj Alhwarin and Alexander Ferrein and Ingrid Scholl},\n  title = \t {IR Stereo Kinect: Improving Depth Images by Combining Structured Light with IR Stereo},\n  booktitle =    {RGB-D: Advanced Reasoning with Depth Cameras},\n  year = \t {2014},\n  keywords  = {BodyScanner},\n}\n\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);