Plenoptic 2.0 - RayTrix R8 and RayTrix R32 - TempleBoatGiant Linear Motion and Grid

<p>The test sequence "Plenoptic 2.0 - RayTrix R8 and RayTrix R32 - TempleBoatGiant Linear Motion and Grid" is provided by Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit,Mehrdad Teratani, and Eduardo Ju&aacute;rez, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universit&eacute; Libre de Bruxelles), Belgium and CITSEM (Centro de Investigaci&oacute;n en Tecnolog&iacute;as Software y Sistemas Multimedia para la Sostenibilidad), UPM (Universidad Politecnica de Madrid), Spain.</p> <p><strong>&nbsp;</strong></p> <p><strong>License:</strong></p> <p>CC BY-NC-SA</p> <p><strong>&nbsp;</strong></p> <p><strong>Terms of Use:</strong></p> <p>Any kind of publication or report using this sequence should refer to the following reference:</p> <p>[1] **Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit, Mehrdad Teratani, and Eduardo Ju&aacute;rez, "Plenoptic 2.0 - RayTrix R8 and RayTrix R32 - TempleBoatGiant Linear Motion and Grid," 2024.07, 10.5281/zenodo.12547598.**</p> <p>&nbsp;</p> <p><code>&nbsp;&nbsp;&nbsp;&nbsp;@misc{fachada_templeboatgiantstatic_2024,<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;title = {{Plenoptic} 2.0 } {Raytrix} {R8} and {Raytrix} {R32} - {TempleBoatGiant} {Linear} {Motion} and {Grid}},<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;author = {Fachada, Sarah and Bonatto, Daniele and Sancho, Jaime and Lafruit, Gauthier and Teratani, Mehrdad and Ju&aacute;rez, Eduardo},<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;month = jul,<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;year = {2024},<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;doi = {10.5281/zenodo.12547598}<br></code><code>&nbsp;&nbsp;&nbsp;&nbsp;}</code></p> <p><strong>&nbsp;</strong></p> <p><strong>Production:</strong></p> <p>Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universit&eacute; Libre de Bruxelles, Belgium,&nbsp;</p> <p>Centro de Investigaci&oacute;n en Tecnolog&iacute;as Software y Sistemas Multimedia para la Sostenibilidad, CITSEM, Universidad Polit&eacute;cnica de Madrid, Spain.</p> <p><strong>&nbsp;</strong></p> <p><strong>Content:</strong></p> <p>This dataset contains a static scene representing an artistic view of a boat floating on an ocean made of colored blocks, near a temple, while a giant is chasing them. The dataset consists of two sub-datasets, one with a linear camera movement and the other with a grid of positions. Both sub-datasets showcase the same scene and are in the format of plenoptic images extracted from ray files. The dataset was acquired with two Raytrix cameras [1], the R8 and the R32, mounted on the UPM&rsquo;s robotic bench. The distance between the two optical axis is (60.7079, -15.7349, 137.849)&nbsp; millimeters with focals F=25 for the R8 and F=50 for the R32.</p> <p>The dataset additionally contains calibration images of a checkerboard and white images taken with different main lens apertures.</p> <p><strong>&nbsp;</strong></p> <p>1. <strong>Linear Camera Movement Sub-dataset:</strong></p> <p>&nbsp;&nbsp;&nbsp;&nbsp;- Camera moves from (x, y, z) = (655, 0, 410) to (655, 450, 410) with a step of 10mm.<strong>&nbsp;</strong></p> <p>2. <strong>Grid Sub-dataset:</strong></p> <p>&nbsp;&nbsp;&nbsp;&nbsp;- Camera positions range from x=535 to x=775 per line, with a step of 10mm, and from z=350 to z=370 with a step of 10mm.</p> <p>3. <strong>Calibration images:</strong></p> <p>&nbsp;&nbsp;&nbsp;&nbsp;- Cameras are fixed at the central position (x, y, z) = (655, 0, 410) and capture views of a checkerboard with 12mm square size.</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;- Overexposed images with a light diffuser were captured with varying camera apertures.</p> <p>Both sub-datasets follow the format of `{R8 or R32}_z{z position}_y{y position}_x{x position}_Processed.png`. Calibration files are provided in XML format. The datasets were acquired with the UPM&rsquo;s robotic bench.</p> <p><strong>The dataset contains:</strong></p> <p>- A `linear` folder containing:</p> <p>&nbsp;&nbsp;- XML calibration files</p> <p>&nbsp;&nbsp;- Plenoptic images in PNG format</p> <p>- A `grid` folder containing:</p> <p>&nbsp;&nbsp;- XML calibration files</p> <p>&nbsp;&nbsp;- Plenoptic images in PNG format</p> <p>- A `checkerboard` folder containing:</p> <p>&nbsp;&nbsp;- XML calibration files</p> <p>&nbsp;&nbsp;- Plenoptic raw and processed images in PNG format of checkerboard with square size of 12mm.</p> <p>- A `white` folder containing:</p> <p>&nbsp;&nbsp;- XML calibration files</p> <p>&nbsp;&nbsp;- Plenoptic raw images in PNG format of overexposed images captured with a white diffusor and different main lens apertures.</p> <p><strong>&nbsp;</strong></p> <p><strong>References and links:</strong></p> <p>[1] https://raytrix.de/</p> <p><strong>&nbsp;</strong></p> <p><strong>Acknowledgments:</strong></p> <p>Sarah Fachada is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique - FNRS, Belgium.&nbsp;</p> <p>This work was supported in part by the HoviTron project (no. 951989), the FER 2021 project (no. 1060H000066-FAISAN), the Emile DEFAY 2021 project (no. 4R00H000236), and the FER 2023 project (no. 1060H000075).&nbsp;</p> <p>Additionally, this work has been funded by the project AIMS5.0, supported by the Chips Joint Undertaking and its members, including top-up funding by National Funding Authorities from involved countries (no. 101112089), and the European project STRATUM (no. 101137416). The robotic bench was funded by &ldquo;Programa Propio UPM&rdquo; in the call &ldquo;convocatoria de ayudas a centros e institutos de I+D+i&rdquo;.</p> <p>&nbsp;</p>