Dataset Open Access
Armando Arturo Sánchez Alcázar;
Giovanni Pintore;
Matteo Sgrenzaroli
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">point cloud</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">indoor</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">3D mapping</subfield> </datafield> <controlfield tag="005">20220320014932.0</controlfield> <controlfield tag="001">6367381</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Visual and Data-Intensive Computing, CRS4, Italy</subfield> <subfield code="0">(orcid)0000-0001-8944-1045</subfield> <subfield code="a">Giovanni Pintore</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">GEXCEL, Italy</subfield> <subfield code="a">Matteo Sgrenzaroli</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">123593016</subfield> <subfield code="z">md5:9d9e21f5031b408dbeaffd457ec36965</subfield> <subfield code="u">https://zenodo.org/record/6367381/files/Indoor3Dmapping.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2022-03-18</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="p">user-evocation-itn</subfield> <subfield code="o">oai:zenodo.org:6367381</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">GEXCEL, Italy</subfield> <subfield code="a">Armando Arturo Sánchez Alcázar</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Indoor3Dmapping dataset</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-evocation-itn</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">813170</subfield> <subfield code="a">Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p><strong>Data Organization</strong><br> Under the root directory for the whole acquisition, there is a <em>positions.csv</em>&nbsp;file and 3 subdirectories: <em>img</em>, <em>dense</em>, and <em>sparse</em>. The mobile mapping 3D dataset was generated walking around an indoor space and each&nbsp;<strong>&lt;positionID&gt;</strong> corresponds to a unique pose along the trajectory of this motion. This version of the dataset contains a total of 99 unique poses. There is a separation of 1 meter between each adjacent pose.</p> <pre><code>root ├── img │ ├── &lt;positionID&gt;.jpg | └── ... ├── dense │ ├── &lt;positionID&gt;.png | └── ... ├── sparse │ ├── &lt;positionID&gt;.png | └── ... └── positions.csv</code></pre> <p><strong>positions.csv</strong></p> <ul> <li>File format: One ASCII file.</li> <li>File structure Rows: Each image is one record.</li> <li>File structure Columns: Comma separated headers, with exact order described below. <ul> <li>Filename, column 0: Panorama file name as on disk, without file extension.</li> <li>Timestamps, column 1: Absolute time at which the panorama was captured, Decimal notation, without thousands separator (microseconds).</li> <li>X,Y,Z, columns 2 through 4: Position of the panoramic camera in decimal notation, without thousands separator (meters).</li> <li>w,x,y,z, columns 5 through 8: Rotation of the camera, quaternion.</li> </ul> </li> </ul> <p><strong>sparse</strong></p> <ul> <li>Set of equirectangular rendered depth images.</li> <li>1920x960 resolution</li> <li>16-bit grayscale PNG</li> <li>White &rarr; 0 m</li> <li>Black &rarr; &ge; 16 m or absent geometry</li> <li>Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented.&nbsp;</li> </ul> <p><strong>dense</strong></p> <ul> <li>Set of equirectangular rendered depth images.</li> <li>1920x960 resolution</li> <li>16-bit grayscale PNG</li> <li>White &rarr; 0 m</li> <li>Black &rarr; &ge; 16 m or absent geometry</li> <li>Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented.</li> </ul> <p><strong>img</strong><br> A set of equirectangular panoramic images was taken with a 360&deg; color camera in 1920x960 resolution. They follow the same trajectory.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.6367380</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.6367381</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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Data volume | 1.1 GB | 1.1 GB |
Unique views | 98 | 98 |
Unique downloads | 9 | 9 |