1,444 research outputs found
RabbitStamp Test Sequence
No full text# RabbitStamp sequence by LISA ULB
The test sequence "RabbitStamp" is provided by Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.
# License:
CC BY-NC-SA
ONLY Available for Academic Usage
# Terms of Use:
Anykind of publication or report using this sequence should refer to the following references.
[1] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "RabbitStamp Test Sequence", 2021.
@misc{fachada_RabbitStamp_2021,
title = {{RabbitStamp} {Test} {Sequence}},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
month = jul,
year = {2021},
doi = {10.5281/zenodo.5053771}
}
[2] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[DLF] Plenoptic 2.0 Multiview Lenslet Dataset and Preliminary Experiments [m56429]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[DLF] {Plenoptic} 2.0 {Multiview} {Lenslet} {Dataset} and {Preliminary} {Experiments} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
journal = {ISO/IEC JTC1/SC29/WG11},
month = apr,
year = {2021}
}
[3] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[LVC] Update for RabbitStamp: Plenoptic 2.0 Multiview Lenslet Dataset [m57100]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[LVC] {Update} for {RabbitStamp}: {Plenoptic} 2.0 {Multiview} {Dataset} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
journal = {ISO/IEC JTC1/SC29/WG11},
month = jul,
year = {2021}
}
[4] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[LVC] Exploration Experiments using RabbitStamp Multiview Lenslet Images [m57101]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[LVC] {Exploration} {Experiments} {Using} {RabbitStamp} {Multiview} {Lenslet} {Images} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad},
journal = {ISO/IEC JTC1/SC29/WG11},
month = jul,
year = {2021}
}
# Production:
Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.
# Content:
This dataset contains a test scene acquired with a raytrix camera [1] array of 7x3 views. For details of the dataset, please refer to the references mentioned above.
The dataset contains:
- a `depth_7x3_center` depth maps computed with DERS reference software [2] in yuv40016ble format and json configuration files to do so,
- a `multiview_7x3_5x5_images` Calibrated subimages computed with RLC [3] in yuv42010ble format, the cameras.json with the camera parameters and view_synthesis.json with the view synthesis experiment.
- a `multiview_7x3_lenslets` folder containing the lenslet views in yuv42010ble format, the Raytrix xml calibration file and RLC cfg file for conversion to multiview.
# References and links:
[1] Raytrix, https://raytrix.de/
[2] 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.
[3] M. Teratani and T. Fujii, "[MPEG-I Visual] Conversion of Lenslet Data Capture by Single Focussed Plenoptic Camera to Multiview Video using RLC0.3 [N18567]", ISO/IEC JTC1/SC29/WG11, 201
Transparent Magritte Test Sequence
No full textTransparent-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, ULB.
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.4488243}
}
[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-formatAcknoledgments:
This work was supported by
Les Fonds de la Recherche Scientifique - FNRS, Belgium, under Grant n°3679514$, ColibriH
The European Commision project n°951989 on Interactive Technologies, H2020-ICT-2019-3, Hovitron.
Sarah Fachada is a Research Fellow of the Fonds de la Recherche Scientifique - FNRS, Belgiu
Bleu de peur / Sarah Cohen-Scali ; ill. de Alain Gauthier
No full textCollection : CascadeAppartient à l’ensemble documentaire : UnivJeun0Contient une table des matièresAvec mode text
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
Magritte Sphere
No full text# Magritte-Sphere sequence by LISA ULB
The test sequence "Magritte Sphere" 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, "Magritte Sphere Test Sequence", 2021.
@misc{fachada_magritte_2021,
title = {{Magritte} {Sphere} {Test} {Sequence}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
month = feb,
year = {2021},
doi = {10.5281/zenodo.5048265}
}
[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 Blender file and the rendered scene.
The scene contains a non-Lambertian (transparent-refractive (T) or mirror-specular (M)) sphere rendered in a regular camera array of 21x21 cameras.
In addition to the 3D model, we provide the rendered images : resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.
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 `parameters.cfg` generated with [2],
- a `texture_M` folder containing the rendered views in png format for the mirror object,
- a `texture_T` folder containing the rendered views in png format for the transparent object,
- a `mask` folder containing the mask indicating the sphere,
- 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-formatAcknowledgments:
This work was supported by:
Les Fonds de la Recherche Scientifique - FNRS, Belgium, under Grant n°3679514$, ColibriH,
The European Commision project n°951989 on Interactive Technologies, H2020-ICT-2019-3, Hovitron.
Sarah Fachada is a Research Fellow of the Fonds de la Recherche Scientifique - FNRS, Belgiu
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>
Habitations du Cirque du Soleil
No full textEnsemble de deux bâtiments dont l’un, composé d’un assemblage de conteneurs empilés, donne sur l’avenue du Cirque tandis que l’autre, formé d’une barre plus basse, donne sur la rue Jean-Rivard; Logé au coeur de la Cité des arts et du cirque; Concepteur: Éric Gauthier de la firme d'architectes Faucher Aubertin Brodeur Gauthier (FABG); Ingénieurs en structure: Renaud Lapointe Ing; Ingénieurs en mécanique et électricité: Progemes; Date de construction: 2004; Cours ARC 2340: Photographie en architecture - Projet Cité des arts et du cirque - Été 2021; Professeur: Alain Laforest; Photographie: Sarah Tremblay, 2021.05.18; Numéro de repérage: _DSC0441S
Le feuilleton des Sorcières : La femme à la voilette
No full textStacke Agnès, Danièle , Clédat Françoise, Petitot Françoise, Laure , Louis Michelle, Huston Nancy, Sarah , Gauthier Xavière, Boulahbel Yesa. Le feuilleton des Sorcières : La femme à la voilette. In: Sorcières : les femmes vivent, n°17, 1979. Vêtement. pp. 94-96
Proxenoi e asylia nei Symbola di Gauthier
No full textIn the framework of a re-examination of Symbola, the volume dedicated by Gauthier to foreigners and justice, the author of this essay focuses his attention on chapter I, in particular on the figure and role of the proxenos (taking into account the main opinions subsequently expressed in literature), and on chapter V, in particular on the role of protection of the foreigner ensured by the grants of asylia. To clarify the scope of this privilege, it was deemed useful to compare the traditional way of understanding the sylai, i.e. the ‘saisies’ in Gauthier’s language, with the critique of this opinion carried out by B. Bravo in 1980. At the end of his analysis, the author holds the view that many of the research directions on these topics indicated by Gauthier, deserve to be taken into serious consideration by those who wish to continue the study of relations between citizens and foreigners in the Greek world.Nel quadro di un riesame di Symbola, il volume dedicato da Gauthier agli stranieri e la giustizia, l’autore del presente saggio concentra la sua attenzione, da un lato, sul capitolo I, in particolare sulla figura e sul ruolo del proxenos (tenendo conto delle principali opinioni espresse successivamente in dottrina), dall’altro, sul capitolo V, in particolare sul ruolo di protezione dello straniero assicurato dalle concessioni di asylia. Per chiarire la portata di tale privilegio si è ritenuto utile mettere a confronto il modo tradizionale di intendere le sylai, ossia le ‘saisies’ nel linguaggio di Gauthier, con la critica che di tale opinione ha svolto B. Bravo nel 1980. Si è potuto così constatare che molte delle direzioni di ricerca su questi argomenti, indicate da Gauthier, meritano di essere prese in seria considerazione da chi voglia approfondire in generale i rapporti fra cittadini e stranieri nel mondo greco
Le Tournoi de Vauplassans
No full textEdition disponible en ligne sur: http://bibliotheque19.ens-lyon.fr/ Voir: "L'alchimie, par Stéphanie Dord-Crouslé" [http://bibliotheque19.ens-lyon.fr/index.php?id=121#tocto2n2]; "Maindron et Flaubert, par Stéphanie Dord-Crouslé et Carine Goutaland" [http://bibliotheque19.ens-lyon.fr/index.php?id=121#tocto2n13].édition en ligne, préfacée et annotée par un collectif de chercheurs (Sarah Al Matary, Guillaume Délias, Stéphanie Dord-Crouslé, Nicolas Gauthier, Carine Goutaland, Florence Loncq, Florence Lotterie, Sarah Mombert, Elodie Saliceto et Charlotte Segonzac
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