<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462020000100221</article-id>
<article-id pub-id-type="doi">10.13053/cys-24-1-3004</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Depth Map Denoising and Inpainting Using Object Shape Priors]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz]]></surname>
<given-names><![CDATA[Andrés]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Caicedo]]></surname>
<given-names><![CDATA[Eduardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paz]]></surname>
<given-names><![CDATA[Lina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Piniés]]></surname>
<given-names><![CDATA[Pedro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Valle  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Intel Corporation  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2020</year>
</pub-date>
<volume>24</volume>
<numero>1</numero>
<fpage>221</fpage>
<lpage>239</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462020000100221&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462020000100221&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462020000100221&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract We present a system that improves the quality of noisy and incomplete depth maps captured with inexpensive range sensors. We use a model-based approach that measures the discrepancy between a model hypothesis and observed depth data. We represent the model hypothesis as a 3D level-set embedding function and the observed data as a point cloud coming from a segmented region associated to the object of interest. The discrepancy between the model and the observed data defines an objective function, that is minimized to obtain pose, scale and shape. The variation in shape of the object of interest is mapped with Gaussian Process Latent Variable Models GPLVM and the object pose is estimated using Lie algebra. The integration of a synthetic depth map, obtained from the optimal model, and the observed depth map is carried out with variational techniques. As a consequence we work in the observed space (depth space) rather than in a high dimensional volumetric space.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Shape prior]]></kwd>
<kwd lng="en"><![CDATA[3D level-set embedding function]]></kwd>
<kwd lng="en"><![CDATA[Levenberg-Marquardt]]></kwd>
<kwd lng="en"><![CDATA[lie algebra]]></kwd>
<kwd lng="en"><![CDATA[depth integration]]></kwd>
<kwd lng="en"><![CDATA[variational techniques]]></kwd>
<kwd lng="en"><![CDATA[Gaussian process latent variable models]]></kwd>
<kwd lng="en"><![CDATA[denoising and inpainting]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bao]]></surname>
<given-names><![CDATA[S. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Chandraker]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Savarese]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dense object reconstruction with semantic priors]]></article-title>
<source><![CDATA[Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition]]></source>
<year>2013</year>
<page-range>1264-71</page-range><publisher-loc><![CDATA[Washington, DC, USA ]]></publisher-loc>
<publisher-name><![CDATA[IEEE Computer Society]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chambolle]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pock]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A first-order primal-dual algorithm for convex problems with applications to imaging]]></article-title>
<source><![CDATA[Journal of Mathematical Imaging and Vision]]></source>
<year>2011</year>
<volume>1</volume>
<numero>40</numero>
<issue>40</issue>
<page-range>120-45</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chaouch]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Verroust-Blondet]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel method for alignment of 3d models]]></article-title>
<source><![CDATA[2008 IEEE International Conference on Shape Modeling and Applications]]></source>
<year>2008</year>
<page-range>187-95</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jafari]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Kehtarnavaz]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improving human action recognition using fusion of depth camera and inertial sensors]]></article-title>
<source><![CDATA[IEEE Transactions on Human-Machine Systems]]></source>
<year>2015</year>
<volume>45</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>51-61</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Concha]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hussain]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Montano]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Civera]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Incorporating scene priors to dense monocular mapping]]></article-title>
<source><![CDATA[Autonomous Robots]]></source>
<year>2015</year>
<volume>39</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>279-92</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dame]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Prisacariu]]></surname>
<given-names><![CDATA[V. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Reid]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dense reconstruction using 3d object shape priors]]></article-title>
<source><![CDATA[2013 IEEE Conference on Computer Vision and Pattern Recognition]]></source>
<year>2013</year>
<page-range>1288-95</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Drozdov]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Shapiro]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Gilboa]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Robust recovery of heavily degraded depth measurements]]></article-title>
<source><![CDATA[2016 Fourth International Conference on 3D Vision (3DV)]]></source>
<year>2016</year>
<page-range>56-65</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Felzenszwalb]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Girshick]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[McAllester]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramanan]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Object detection with discriminatively trained part-based models]]></article-title>
<source><![CDATA[IEEE Transactions on Pattern Analysis and Machine Intelligence]]></source>
<year>2010</year>
<volume>32</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1627-45</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Feng]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Price]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Cohen]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[S. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Interactive segmentation on rgbd images via cue selection]]></article-title>
<source><![CDATA[2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)]]></source>
<year>2016</year>
<page-range>156-64</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ferstl]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Reinbacher]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ranftl]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruether]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bischof]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image guided depth upsampling using anisotropic total generalized variation]]></article-title>
<source><![CDATA[2013 IEEE International Conference on Computer Vision]]></source>
<year>2013</year>
<page-range>993-1000</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Object-based multiple foreground segmentation in rgbd video]]></article-title>
<source><![CDATA[IEEE Transactions on Image Processing]]></source>
<year>2017</year>
<volume>26</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1418-27</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hornácek]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rhemann]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Gelautz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rother]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Depth super resolution by rigid body self-similarity in 3d]]></article-title>
<source><![CDATA[2013 IEEE Conference on Computer Vision and Pattern Recognition]]></source>
<year>2013</year>
<page-range>1123-30</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jung]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enhancement of image and depth map using adaptive joint trilateral filter]]></article-title>
<source><![CDATA[IEEE Transactions on Circuits and Systems for Video Technology]]></source>
<year>2013</year>
<volume>23</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>258-69</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kerl]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Sturm]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Cremers]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Robust odometry estimation for rgb-d cameras]]></article-title>
<source><![CDATA[2013 IEEE International Conference on Robotics and Automation]]></source>
<year>2013</year>
<page-range>3748-54</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Khayam]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[The discrete cosine transform (dct): Theory and application]]></source>
<year>2003</year>
<publisher-name><![CDATA[department of electrical computing engineering]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Klein]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Murray]]></surname>
<given-names><![CDATA[D. W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Parallel tracking and mapping for small AR workspaces]]></article-title>
<source><![CDATA[Proc. Sixth IEEE and ACM International Symposium on Mixed and Augmented Reality]]></source>
<year>2007</year>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kluckner]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pock]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Bischof]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Exploiting redundancy for aerial image fusion using convex optimization]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Goesele]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Roth]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuijper]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Schiele]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Schindler]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Pattern Recognition: 32nd DAGM Symposium]]></source>
<year>2010</year>
<page-range>303-12</page-range><publisher-loc><![CDATA[Berlin, Heidelberg ]]></publisher-loc>
<publisher-name><![CDATA[Springer Berlin Heidelberg]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Krenzin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hellwich]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Reduction of point cloud artifacts using shape priors estimated with the gaussian process latent variable model]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Rosenhahn]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Andres]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings]]></source>
<year>2016</year>
<page-range>273-84</page-range><publisher-loc><![CDATA[Cham ]]></publisher-loc>
<publisher-name><![CDATA[Springer International Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kwon]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tai]]></surname>
<given-names><![CDATA[Y.-W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data-driven depth map refinement via multi-scale sparse representation]]></article-title>
<source><![CDATA[2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)]]></source>
<year>2015</year>
<page-range>159-67</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lawrence]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Probabilistic non-linear principal component analysis with gaussian process latent variable models]]></article-title>
<source><![CDATA[J. Mach. Learn. Res.]]></source>
<year>2005</year>
<volume>6</volume>
<page-range>1783-816</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Fidler]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Urtasun]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Holistic scene understanding for 3d object detection with rgbd cameras]]></article-title>
<source><![CDATA[2013 IEEE International Conference on Computer Vision]]></source>
<year>2013</year>
<page-range>1417-24</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[M. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Tuzel]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Taguchi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Joint geodesic upsampling of depth images]]></article-title>
<source><![CDATA[2013 IEEE Conference on Computer Vision and Pattern Recognition]]></source>
<year>2013</year>
<page-range>169-76</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Pan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Kinect depth inpainting via graph laplacian with tv21 regularization]]></article-title>
<source><![CDATA[2013 2nd IAPR Asian Conference on Pattern Recognition]]></source>
<year>2013</year>
<page-range>251-5</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moller]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A scaled conjugate gradient algorithm for fast supervised learning]]></article-title>
<source><![CDATA[NEURAL NETWORKS]]></source>
<year>1993</year>
<volume>6</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>525-33</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Newcombe]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lovegrove]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Davison]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
</person-group>
<source><![CDATA[DTAM: Dense tracking and mapping in real-time]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ni]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Moulin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Motion part regularization: Improving action recognition via trajectory group selection]]></article-title>
<source><![CDATA[2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)]]></source>
<year>2015</year>
<page-range>3698-706</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tai]]></surname>
<given-names><![CDATA[Y.-W.]]></given-names>
</name>
<name>
<surname><![CDATA[Brown]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kweon]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[High quality depth map upsampling for 3d-tof cameras]]></article-title>
<source><![CDATA[2011 International Conference on Computer Vision]]></source>
<year>2011</year>
<page-range>1623-30</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pertuz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kamarainen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Region-based Depth Recovery for HighlySparse Depth Maps]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pinies]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Paz]]></surname>
<given-names><![CDATA[L. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Newman]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dense Mono Reconstruction: Living with the Pain of the Plain Plane]]></article-title>
<source><![CDATA[Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)]]></source>
<year>2015</year>
<publisher-loc><![CDATA[Seattle, WA, USA ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Reid]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A unified energy minimization framework for model fitting in depth]]></article-title>
<source><![CDATA[Proceedings of the 12th International Conference on Computer Vision - Volume 2]]></source>
<year>2012</year>
<page-range>72-82</page-range><publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer-Verlag]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rohr]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Stiehl]]></surname>
<given-names><![CDATA[H. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sprengel]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Beil]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Buzug]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Weese]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuhn]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Point-based elastic registration of medical image data using approximating thin-plate splines]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Hohne]]></surname>
<given-names><![CDATA[K. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Kikinis]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Visualization in Biomedical Computing: 4th International Conference, VBC'96 Hamburg, Germamy, September 22-25, 1996 Proceedings]]></source>
<year>1996</year>
<page-range>297-306</page-range><publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer Berlin Heidelberg]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Teng]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Ti]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Adaptive morphological filtering method for structural fusion restoration of hyperspectral images]]></article-title>
<source><![CDATA[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing]]></source>
<year>2016</year>
<volume>9</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>655-67</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ti]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Guan]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Teng]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Depth recovery for kinect sensor using contour-guided adaptive morphology filter]]></article-title>
<source><![CDATA[IEEE Sensors Journal]]></source>
<year>2017</year>
<volume>17</volume>
<numero>14</numero>
<issue>14</issue>
<page-range>4534-43</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tosic]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Drewes]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Learning joint intensity-depth sparse representations]]></article-title>
<source><![CDATA[IEEE Transactions on Image Processing]]></source>
<year>2014</year>
<volume>23</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>2122-32</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>35</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Whelan]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaess]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Johannsson]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Fallon]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Leonard]]></surname>
<given-names><![CDATA[J. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Mcdonald]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Realtime large-scale dense rgb-d slam with volumetric fusion]]></article-title>
<source><![CDATA[Int. J. Rob. Res.]]></source>
<year>2015</year>
<volume>34</volume>
<numero>4-5</numero>
<issue>4-5</issue>
<page-range>598-626</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zach]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Pock]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Bischof]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A globally optimal algorithm for robust tv-l1 range image integration]]></article-title>
<source><![CDATA[IEEE 11th International Conference on Computer Vision]]></source>
<year>2007</year>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B37">
<label>37</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Weibel]]></surname>
<given-names><![CDATA[J. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Discriminative multi-modal feature fusion for rgbd indoor scene recognition]]></article-title>
<source><![CDATA[2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)]]></source>
<year>2016</year>
<page-range>2969-76</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
