Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
versions View all 4 versions
addClaim

ULB ChocoFountainBxl

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

ULB ChocoFountainBxl

Abstract

# ULB ChocoFountainBxl sequence by LISA ULB The test sequence "ULB ChocoFountainBxl" is provided by Daniele Bonatto, Sarah Fachada, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium. ![RVS Synthesized Multiview](RVS_synthesized_multiview_sample.png) [![ChocoFountainBxl - RVS Multiview synthesis Sample](http://img.youtube.com/vi/ONO_bc6vpf0/0.jpg)](http://www.youtube.com/watch?v=ONO_bc6vpf0 "ChocoFountainBxl - RVS Multiview synthesis Sample") # License: License Creative Commons 4.0 - CC BY 4.0 # Terms of Use: Any kind of publication or report using this sequence should refer to the following references. [1] Daniele Bonatto, Sarah Fachada, Mehrdad Teratani, Gauthier Lafruit, "ULB ChocoFountainBxl", Zenodo, 10.5281/zenodo.5957378, 2022. @misc{bonatto_chocofountainbxl_2022, title = {{ULB} {ChocoFountainBxl}}, author = {Bonatto, Daniele and Fachada, Sarah and Teratani, Mehrdad and Lafruit, Gauthier}, publisher = {Zenodo} month = feb, year = {2022}, doi = {10.5281/zenodo.5957378} } [2] A. Schenkel, D. Bonatto, S. Fachada, H.-L. Guillaume, et G. Lafruit, "Natural Scenes Datasets for Exploration in 6DOF Navigation", in 2018 International Conference on 3D Immersion (IC3D), Brussels, Belgium, déc. 2018, p. 1-8. doi: 10.1109/IC3D.2018.8657865. @inproceedings{schenkel_natural_b_2018, address = {Brussels, Belgium}, title = {Natural {Scenes} {Datasets} for {Exploration} in {6DOF} {Navigation}}, isbn = {978-1-5386-7590-8}, url = {https://doi.org/10.1109/IC3D.2018.8657865}, doi = {10.1109/IC3D.2018.8657865}, language = {en}, urldate = {2019-04-11}, booktitle = {2018 {International} {Conference} on {3D} {Immersion} ({IC3D})}, publisher = {IEEE}, author = {Schenkel, Arnaud and Bonatto, Daniele and Fachada, Sarah and Guillaume, Henry-Louis and Lafruit, Gauthier}, month = dec, year = {2018}, pages = {1--8} } # Production: Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium. # Content: This dataset contains a dynamic test scene created using the acquisition system described in [2] (3x5 array with a baseline of 10 cm (vertical) and 15cm horizontal). We provide color corrected [4] 97 frames RGB textures (YUV420p10le format) captured using 15 4k micro studio Blackmagic cameras (3840x2160 pixels @ 30 fps cropped to 3712x2064). We also provide corresponding depth maps (YUV420p16le format) estimated using MPEG's Immersive Video Depth Estimation (IVDE) [5] and refined using PDR [6]. The scene display two actors interacting with difficult objects to render in view synthesis. In particular the scene contains transparent, specular and smooth areas objects. The videos were taken in a controlled light environment. The views are disposed as follow: > v00 v01 v02 v03 v04 > v10 v11 v12 v13 v14 > v20 v21 v22 v23 v24 In addition to the images and their depth maps, an accurate camera calibration file is provided following the format of [8]. The dataset contains: - a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [9], - a `view_synthesis_config.zip` folder containing configuration files for RVS [7,8] to synthesize every view with its closest 4 neighbors in a "plus" configuration, - a `view_synthesis_results.zip` folder containing videos (scaled to 710x516) corresponding to the configuration files in `view_synthesis_config` and a multiview videos displaying all the results merged together. Views synthesized with RVS [7,8], - a `vXY_depth_3712x2064_yuv420p16le.zip` Depth maps for every XY view in yuv420p16le format, - a `vXY_texture_3712x2064_yuv420p10le.zip` RGB textures for every XY view in yuv420p10le format. # References and links: [4] A. Dziembowski, D. Mieloch, S. Różek and M. Domański, "Color Correction for Immersive Video Applications," in IEEE Access, vol. 9, pp. 75626-75640, 2021, doi: 10.1109/ACCESS.2021.3081870. [5] D. Mieloch, O. Stankiewicz and M. Domański, "Depth Map Estimation for Free-Viewpoint Television and Virtual Navigation", IEEE Access, vol. 8, pp. 5760-5776, 2020, doi: 10.1109/ACCESS.2019.2963487. [6] D. Mieloch, A. Dziembowski and M. Domański, "Depth Map Refinement for Immersive Video," in IEEE Access, vol. 9, pp. 10778-10788, 2021, doi: 10.1109/ACCESS.2021.3050554. [7] D. Bonatto, S. Fachada, S. Rogge, A. Munteanu and G. Lafruit, "Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays," in IEEE Access, vol. 9, pp. 146868-146887, 2021, doi: 10.1109/ACCESS.2021.3123529. [8] S. Fachada, B. Kroon, D. Bonatto, B. Sonneveldt, et G. Lafruit, "Reference View Synthesizer (RVS) 2.0 manual, [N17759]", july. 2018. [9] S. Fachada, D. Bonatto, M. Teratani, and G. Lafruit, "Intechopen - View Synthesis tool for VR Immersive Video", 2022. # Acknowledgments [G1] EU project HoviTron, Grant Agreement n$^o$951989 on Interactive Technologies, Horizon 2020. [G2] Innoviris, the Brussels Institute for Research and Innovation, Belgium, under contract No.: 2015-DS-39a/b & 2015-R-39c/d, 3DLicorneA. [G3] Sarah Fachada is a Research Fellow of the Fonds de la Recherche Scientifique - FNRS, Belgium.

{"references": ["A. Dziembowski, D. Mieloch, S. R\u00f3\u017cek and M. Doma\u0144ski, \"Color Correction for Immersive Video Applications,\" in IEEE Access, vol. 9, pp. 75626-75640, 2021, doi: 10.1109/ACCESS.2021.3081870.", "D. Mieloch, O. Stankiewicz and M. Doma\u0144ski, \"Depth Map Estimation for Free-Viewpoint Television and Virtual Navigation\", IEEE Access, vol. 8, pp. 5760-5776, 2020, doi: 10.1109/ACCESS.2019.2963487.", "D. Mieloch, A. Dziembowski and M. Doma\u0144ski, \"Depth Map Refinement for Immersive Video,\" in IEEE Access, vol. 9, pp. 10778-10788, 2021, doi: 10.1109/ACCESS.2021.3050554.", "D. Bonatto, S. Fachada, S. Rogge, A. Munteanu and G. Lafruit, \"Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays,\" in IEEE Access, vol. 9, pp. 146868-146887, 2021, doi: 10.1109/ACCESS.2021.3123529.", "S. Fachada, B. Kroon, D. Bonatto, B. Sonneveldt, et G. Lafruit, \"Reference View Synthesizer (RVS) 2.0 manual, [N17759]\", july. 2018.", "A. Schenkel, D. Bonatto, S. Fachada, H.-L. Guillaume, et G. Lafruit, \"Natural Scenes Datasets for Exploration in 6DOF Navigation\", in 2018 International Conference on 3D Immersion (IC3D), Brussels, Belgium, d\u00e9c. 2018, p. 1-8. doi: 10.1109/IC3D.2018.8657865."]}

Keywords

view synthesis, Depth Image-Based Rendering, dynamic content, camera array

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 32
    download downloads 32
  • 32
    views
    32
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
32
32
Funded by