Version 1.1

Transparent Magritte Test Sequence

Fachada, Sarah;Bonatto, Daniele;Teratani, Mehrdad;Lafruit, Gauthier

Description

Transparent-Magritte sequence by LISA ULB The test sequence "Transparent Magritte" 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. License: CC BY-NC-SA Terms of Use: Anykind of publication or report using this sequence should refer to the following references.
[1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Transparent Magritte Test Sequence", 2021. @misc{fachada_transparent_2021,
title = {Transparent {Magritte} {Test} {Sequence}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
month = feb,
year = {2021},
doi = {10.5281/zenodo.5048275}
} [2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021. @inproceedings{fachada_light_2021,
title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},
booktitle = {Electronic {Imaging}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
year = {2021}
} Production Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium. Content: 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. The scene contains a transparent refractive torus rendered in a regular camera array of 21x21 cameras.
In addition to the 3D model, two folders are available:
- centered_cameras resolution of 1000x1000, the cameras are centered on the refractive torus.
- parallel_cameras resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.
Each of these folders contains:
- a camera.json file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],
- a parameters.cfg generated with [2],
- a texture folder containing the rendered views in png format,
- a depth folder containing the associated depth maps in exr format.

References and links: [1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020. [2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016, https://github.com/lightfield-analysis/blender-addon https://github.com/dbonattoj/blender-addon [3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018. https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Pollution

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

80%

Source

Open Alex

Keywords

Light-FieldRefractivenon-Lambertian

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00