Journées de la Recherche 2019 GeoVIS PhD's posters:

About Us

The GeoVIS team provides geovisualization knowledge, methods and tools allowing various users to design graphic representations of spatio-temporal phenomena, and to infer spatio-temporal knowledge from the interaction with some dimensions of a phenomenon, based on spatial data (maps, imagery, 3D models, DTM, point clouds, etc.) and external data (texts, photographies, web data, thematic data, etc.). The heterogeneity (source, scale, content, precision, dimension, temporality) and the imprecision of these data and of represented phen omena imply to address the following issues: The GeoVIS team contributes in geovisualization, which encompasses cartography, GIS, InfoVis, computer graphics and image processing fields of study.

Visualization

Visual integration and complexity, abstraction and level of detail (generalization, symbolization), graphic representation (graphic semiology, style).

Interaction

Interaction between the users and the visualization, according to the support and use context, the users' tasks, and the visual characteristics or the specific spatial phenomena of study: interaction techniques and models, data and representations continuums, and also analysis and learning from interaction activities and traces.

Spatial Immersion

Immersion through devices facilitating visual, tactile and sensitive perception, and the design of geographical spaces: virtual, augmented and mixed realities, tactile maps.

Graphic rendering

Improvement of the physical rendering of images, geometric and radiometric analysis, web diffusion of massive data, and real-time 3D rendering.

User experience (UX)

Visual tests, surveys, and prototypes.

Members of the GEOVIS team

Past members

ANR ACTIVmap project (ANR, 2020-2024)

Computer Assisted Map Design for Visually Impaired People.

leader: Jean-Marie Favreau (LIMOS, Clermont-Ferrant). G. Touya & S. Christophe involved.

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UrCLIM (ERA4CS, 2017-2020)

Advances on urban Climate Services (porteur: Valéry Masson (MétéoFrance)

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UrbaRiskLab (I-SITE FUTURE, 2018)

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ALEGORIA (ANR, 2018-2021)

Advanced Linking And Exploitation Of DiGitized Ge0gRaphic Iconographic HeritAge (porteuse: V. Gouet-Brunet (IGN))

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SODUCO (ANR, 2019-2022)

Dynamiques Sociales en contexte urbain: outils, modèles et données libres -- Paris et ses banlieues, 1789-1950 (porteur: J. Perret (IGN))

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MapMuxing (ANR, 2014-2019)

Techniques de multiplexing cartographique (porteur: G. Touya (IGN))

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Main publications since 2017

Biasutti P., Aujol J.F., Brédif M., Bugeau A. Diffusion and inpainting of reflectance and height LiDAR orthoimages. Computer Vision and Image Understanding, Elsevier, 2018. doi:10.1016/j.cviu.2018.10.011 (ISSN 1077-3142)

Biasutti P., Aujol J.F., Brédif M., Bugeau A. Range-Image: Incorporating sensor topology for LiDAR point cloud processing. PE&RS Photogrammetric Engineering & Remote Sensing, ASPRS American Society for Photogrammetry and Remote Sensing, 2018, 84 (6), pp.367--375. <10.14358/PERS.84.6.367>.

• Biniek S., Touya G., and Rouffineau G. ‘Fifty Shades of Roboto: Text Design Choices and Categories in Multi-Scale Maps’. In 29th International Cartographic Conference (ICC 2019), 1:1–8. Advances in Cartography and GIScience of the ICA. Tokyo, Japan, 2019. https://doi.org/10.5194/ica-adv-1-2-2019.

Christophe, S. (2019). Color Theory. The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2019 Edition), John P. Wilson (Ed.). DOI: 10.22224/gistbok/2019.1.9

• Çöltekin, A., Griffin, A. L., Slingsby, A., Robinson A. C., Christophe, S., Rautenbach, V., Chen, M., Pettit, C., Klippel, A. (2020, accepted). Geospatial Information Visualization and Extended Reality Displays. Chapter 7, Manual of Digital Earth, ISDE.

Devaux, A., C. Hoarau, M. Brédif and S. Christophe (2018) 3D urban geovisualization: in situ augmented and mixed reality experiments. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

• Hoarau C., Christophe S. (2017). Cartographic continuum rendering based on color and texture interpolation to enhance photo-realism perception. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 127, May 2017, pp. 27-38. http://dx.doi.org/10.1016/j.isprsjprs.2016.09.012

• Mellado N., Vanderhaeghe D., Hoarau C., Christophe S. Brédif M., Barthe L. (2017). Constrained Palette-Space Exploration. ACM Trans. Graph. 36, 4, Article 0304 (July 2017), 14 pages. http://dx.doi.org/10.1145/3072959.3073650.

• Pierkot, C., Christophe S., Girres J-F. (2019). Exploring multiplexing tools for co-visualization in crisis units. 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) Valencia, Spain, May 19-22. p.403-420.

Touya G., Berli J., Lokhat I., and Regnauld N.,. ‘Experiments to Distribute and Parallelize Map Generalization Processes’. The Cartographic Journal 54, no. 4 (October 2017): 322–332. https://doi.org/10.1080/00087041.2017.1413787. (Henry Johns Award 2018)

Touya, G., Christophe S., Favreau J. M., and Rhaiem A. B.,. ‘Automatic Derivation of On-Demand Tactile Maps for Visually Impaired People: First Experiments and Research Agenda’. International Journal of Cartography, 2018. https://doi.org/10.1080/23729333.2018.1486784.

Touya, G., Xiang Z., and Lokhat I.. ‘Is Deep Learning the New Agent for Map Generalization?’ International Journal of Cartography, 9 May 2019, 1–16. https://doi.org/10.1080/23729333.2019.1613071

Touya , G., Berli J., I. Lokhat and N. Regnauld (2017) Experiments to Distribute and Parallelize Map Generalization Processes. The Cartographic Journal Volume 54, 2017 - Issue 4.