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ULB ToysTable
No full textULB ToysTable sequence by LISA ULB
The test sequence "ULB ToysTable" is provided by Daniele Bonatto, Sarah Fachada, 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] Daniele Bonatto, Sarah Fachada, Gauthier Lafruit, "ULB ToysTable", 2021.
@misc{bonatto_toystable_2021,
title = {{ULB} {ToysTable}},
author = {Bonatto, Daniele and Fachada, Sarah and Lafruit, Gauthier},
month = feb,
year = {2021},
doi = {10.5281/zenodo.5055542}
}
[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}
}
[3] D. Bonatto, A. Schenkel, T. Lenertz, Y. Li, et G. Lafruit, « [MPEG-I Visual] ULB High Density 2D/3D Camera Array data set, version 2 [m41083] », in ISO/IEC JTC1/SC29/WG11 MPEG2017/M41083, Torino, Italy, juill. 2017.
@inproceedings{bonatto_mpeg-i_2017,
address = {Torino, Italy},
title = {[{MPEG}-{I} {Visual}] {ULB} {High} {Density} {2D}/{3D} {Camera} {Array} data set, version 2 [m41083]},
doi = {ISO/IEC JTC1/SC29/WG11 MPEG2017/M41083},
author = {Bonatto, Daniele and Schenkel, Arnaud and Lenertz, Tim and Li, Yan and Lafruit, Gauthier},
month = jul,
year = {2017}
}
Production:
Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.
Content:
This dataset contains a static test scene created using a robotic bench described in [3]. We provide RGB textures and their associated depth maps captured using a Microsoft Kinect v2. We also provide depth maps estimated using MPEG's Depth Estimation Reference Software (DERS) [5].
The scene contains a table with several toys, boxes, a chessboard and the datacolor Spydercheckr® 24. The pictures were taken in a controlled light environment. In a post-processing pass, the colors were corrected and the depth map undistorded and reprojected as described in [2] to match the RGB images.
The dataset contains two bands of regurarly spaced 5x5 images (Plane A) and 3x5 images (Plane B) respectively.
In addition to the images and their depth maps, an accurate camera calibration file is provided following the format of [4]. It was computed as described in [2].
The dataset contains:
- a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],
- a `textures` folder containing the rendered views in png format,
- a `depths_DERS` folder containing the associated depth maps in exr format.
References and links:
[4] S. Fachada, B. Kroon, D. Bonatto, B. Sonneveldt, et G. Lafruit, « Reference View Synthesizer (RVS) 2.0 manual, [N17759] », juill. 2018.
[5] S. Rogge and D. Bonatto and J. Sancho and R. Salvador and E. Juarez and A. Munteanu and G. Lafruit, "MPEG-I Depth Estimation Reference Software", in 2019 International Conference on 3D Immersion (IC3D), 2019
HoviTronBear
No full text<p> # Sequence: HoviTronBear <br>
This dataset "HoviTronBear" is provided by Yupeng XIE, Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium. <br>
Supported by the EU project HoviTron (Holographic Vision for Immersive Tele-Robotic OperatioN), Call identifier: H2020-ICT-2019-3, Grant Agreement: 951989.</p>
<p> # License: <br>
CC BY-NC-SA</p>
<p> # Terms of Use: <br>
Any kind of publication or report using this sequence should refer to the following references.</p>
<p>[1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "HoviTronBear", 2021.</p>
<p>@misc{xie_hovitronbear_2021,<br>
title = {{HoviTronBear} {Test} {Sequence}},<br>
author = {Xie, Yupeng and Fachada, Sarah and Bonatto, Daniele and Lafruit, Gauthier},<br>
month = July,<br>
year = {2021},<br>
doi = {10.5281/zenodo.5047464}<br>
}</p>
<p>[2] Xie, Yupeng and Fachada, Sarah and Bonatto, Daniele and Lafruit, Gauthier</p>
<p>@inproceedings{xie2021view,<br>
title={View Synthesis: LiDAR Camera versus Depth Estimation},<br>
author={Xie, Yupeng and Fachada, Sarah and Bonatto, Daniele and Lafruit, Gauthier},<br>
booktitle={International Conference on Computer Graphics, Visualization and Computer Vision 2021 (WSCG)},<br>
year={2021}<br>
}</p>
<p><br>
# Production:<br>
Laboratory of Image Synthesis and Analysis, LISA department, EPB, ULB.</p>
<p> # Content:<br>
This dataset contains:<br>
- Sequences:<br>
RGB images acquired by the Intel Realsense LiDAR L515 camera [1], which have been calibrated by software [2][3].<br>
<br>
- LiDAR_DepthMaps:<br>
Depth maps acquired by the Intel Realsense LiDAR L515 camera have been registered to Sequences and calibrated by software [2][3].<br>
<br>
- DERS_DepthMaps:<br>
High-accurate depth maps are estimated by DERS [4] (Depth Estimation Reference Software). The inputs are from Sequences. <br>
<br>
- cfgs/DERS:<br>
Configuration files for implementing the DERS. Please be aware of setting your own system path to reading these files.<br>
<br>
- cam_params.json:<br>
file in OMAF coordinates system (Camera position: X: forwards, Y: left, Z: up, Rotation: yaw, pitch, roll) [5]</p>
<p> # References and links:</p>
<p>[1] https://www.intelrealsense.com/lidar-camera-l515/</p>
<p>[2] https://github.com/ethz-asl/kalibr</p>
<p>[3] https://github.com/colmap/colmap</p>
<p>[4] S.Rogge et al. In: MPEG-I Depth Estimation Reference Software. 2019, pp. 1–6. DOI: 10 .1109/IC3D48390.2019.8975995.</p>
<p>[5] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018.<br>
https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format</p>
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koamabayili/VECTRON-author-checklist: VECTRON author checklist
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Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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