Published January 24, 2025 | Version v1

Plenoptic 2.0: RayTrix R32 and RayTrix R8 - 3D Scanner: Photoneo PhoXi S - "Boat"

Description

Plenoptic 2.0: RayTrix R32 and RayTrix R8 - 3D Scanner: Photoneo PhoXi S - "Boat"

The test sequence "Plenoptic 2.0: RayTrix R32 and RayTrix R8 - 3D Scanner: Photoneo PhoXi S - "Boat"" is provided by Sarah Fachada, Manuel Villa, 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, Manuel Villa, Daniele Bonatto, Jaime Sancho, Gauthier Lafruit, Mehrdad Teratani, and Eduardo Juárez, "Plenoptic 2.0: RayTrix R32 and RayTrix R8 - 3D Scanner: Photoneo PhoXi S - "Boat"" 2024.07, 10.5281/zenodo.14728847

 

bibtex
    @misc{fachada_boat_2025,
        title = {{Plenoptic} 2.0 {Raytrix} {R32} and {Raytrix} {R8} - {3D} {Scanner:} {Photoneo} {PhoXi} {S} - {"Boat"}},
        author = {Fachada, Sarah and Villa, Manuel and Bonatto, Daniele and Sancho, Jaime and Lafruit, Gauthier and Teratani, Mehrdad and Juárez, Eduardo},
        month = jan,
        year = {2025},
        doi = {10.5281/zenodo.14728847}
    }

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 provides multiple views of a scene featuring a boat toy. The dataset was acquired with two Raytrix cameras [1], the R32 and the R8, mounted on the CITSEM's robotic stage. It was also acquired with the 3D scanner Photoneo PhoXi S [2]. 

The cameras have a C-mount main lens of focal length 50mm (R32) and 25mm (R8).

The distance along the xy axis is 50cm and along the forward axis is 65cm.


The dataset contains

- `R8`,`R32` folders containing the processed plenoptic images of the scene in PNG format and the `calib.xml` containing the micro-image array description
- A `scan` folder containing three scans of the scene (`S1`,`S2`,`S2`), the fused 3d model and a `calib.json` with the scanner's camera parameters for depth and color sensors.

References and links

[1] https://raytrix.de/

[2] https://www.photoneo.com 

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”.

Files

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Additional details

Funding

European Commission
HoviTron - Holographic Vision for Immersive Tele-Robotic OperatioN 951989
European Commission
STRATUM - 3D Decision Support Tool for Brain Tumor Surgery 101137416
European Commission
AIMS5.0 - Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0 101112089