DOI: 10.5281/zenodo.12547598
title: Plenoptic 2.0 - RayTrix R8 and RayTrix R32 - TempleBoatGiant Linear Motion and Grid

description: 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 Juárez, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and CITSEM (Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), UPM (Universidad Politecnica de Madrid), Spain.

 

License:

CC BY-NC-SA

 

Terms of Use:

Any kind of publication or report using this sequence should refer to the following reference:

[1] **Sarah Fachada, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit, Mehrdad Teratani, and Eduardo Juárez, "Plenoptic 2.0 - RayTrix R8 and RayTrix R32 - TempleBoatGiant Linear Motion and Grid," 2024.07, 10.5281/zenodo.12547598.**

 

    @misc{fachada_templeboatgiantstatic_2024,        title = {{Plenoptic} 2.0 } {Raytrix} {R8} and {Raytrix} {R32} - {TempleBoatGiant} {Linear} {Motion} and {Grid}},        author = {Fachada, Sarah and Bonatto, Daniele and Sancho, Jaime and Lafruit, Gauthier and Teratani, Mehrdad and Juárez, Eduardo},        month = jul,        year = {2024},         doi = {10.5281/zenodo.12547598}    }

 

Production:

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Belgium, 

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad, CITSEM, Universidad Politécnica de Madrid, Spain.

 

Content:

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’s robotic bench. The distance between the two optical axis is (60.7079, -15.7349, 137.849)  millimeters with focals F=25 for the R8 and F=50 for the R32.

The dataset additionally contains calibration images of a checkerboard and white images taken with different main lens apertures.

 

1. Linear Camera Movement Sub-dataset:

    - Camera moves from (x, y, z) = (655, 0, 410) to (655, 450, 410) with a step of 10mm. 

2. Grid Sub-dataset:

    - 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.

3. Calibration images:

    - Cameras are fixed at the central position (x, y, z) = (655, 0, 410) and capture views of a checkerboard with 12mm square size.

    - Overexposed images with a light diffuser were captured with varying camera apertures.

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’s robotic bench.

The dataset contains:

- A `linear` folder containing:

  - XML calibration files

  - Plenoptic images in PNG format

- A `grid` folder containing:

  - XML calibration files

  - Plenoptic images in PNG format

- A `checkerboard` folder containing:

  - XML calibration files

  - Plenoptic raw and processed images in PNG format of checkerboard with square size of 12mm.

- A `white` folder containing:

  - XML calibration files

  - Plenoptic raw images in PNG format of overexposed images captured with a white diffusor and different main lens apertures.

 

References and links:

[1] https://raytrix.de/

 

Acknowledgments:

Sarah Fachada is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique - FNRS, Belgium. 

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). 

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 “Programa Propio UPM” in the call “convocatoria de ayudas a centros e institutos de I+D+i”.