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Transparent Magritte Test Sequence

<p>&nbsp;<strong>Transparent-Magritte sequence by LISA ULB</strong></p> <p>The test sequence &quot;Transparent Magritte&quot; is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.</p> <p>&nbsp;</p> <p><strong>&nbsp;License:</strong></p> <p>CC BY-NC-SA</p> <p>&nbsp;</p> <p><strong>&nbsp;Terms of Use:</strong></p> <p>Anykind of publication or report using this sequence should refer to the following references.</p> <p><br> [1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, &quot;Transparent Magritte Test Sequence&quot;, 2021.</p> <p>@misc{fachada_transparent_2021,<br> &nbsp;&nbsp; &nbsp;title = {Transparent {Magritte} {Test} {Sequence}},<br> &nbsp;&nbsp; &nbsp;author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},<br> &nbsp;&nbsp; &nbsp;month = feb,<br> &nbsp;&nbsp; &nbsp;year = {2021},<br> &nbsp;&nbsp; &nbsp;doi = {10.5281/zenodo.5048275}<br> }</p> <p>[2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, &quot;Light Field Rendering for non-Lambertian Objects,&quot; presented at the Electronic Imaging, 2021.</p> <p>@inproceedings{fachada_light_2021,<br> &nbsp;&nbsp; &nbsp;title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},<br> &nbsp;&nbsp; &nbsp;booktitle = {Electronic {Imaging}},<br> &nbsp;&nbsp; &nbsp;author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},<br> &nbsp;&nbsp; &nbsp;year = {2021}<br> }</p> <p><strong>&nbsp;Production</strong></p> <p>Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.</p> <p>&nbsp;</p> <p>&nbsp;<strong>Content:</strong></p> <p>This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Bblender file and the rendered scene.</p> <p>The scene contains a transparent refractive torus rendered in a regular camera array of 21x21 cameras.<br> In addition to the 3D model, two folders are available:<br> &nbsp;-&nbsp; `centered_cameras` resolution of 1000x1000, the cameras are centered on the refractive torus.<br> &nbsp;-&nbsp; `parallel_cameras` resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.<br> Each of these folders contains:<br> &nbsp;- a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],<br> &nbsp;- a `parameters.cfg` generated with [2],<br> &nbsp;- a `texture` folder containing the rendered views in png format,<br> &nbsp;- a `depth` folder containing the associated depth maps in exr format.<br> &nbsp;<br> <strong>&nbsp;References and links:</strong></p> <p>[1] Blender Online Community, &quot;Blender - a 3D modelling and rendering package.&quot; Blender Institute, Amsterdam: Blender Foundation, 2020.</p> <p>[2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, &quot;A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields&quot; in Asian Conference on Computer Vision, 2016,</p> <p>https://github.com/lightfield-analysis/blender-addon</p> <p>https://github.com/dbonattoj/blender-addon</p> <p>[3] B. Kroon, &quot;Reference View Synthesizer (RVS) manual [N18068],&quot; ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018.</p> <p>https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8

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