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An appearance‐preserving simplification method for complex 3D building models / Jiangfeng She in Transactions in GIS, vol 23 n° 2 (April 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 2 (April 2019) . - pp 275 - 293 Titre : An appearance‐preserving simplification method for complex 3D building models Type de document : Article/Communication Auteurs : Jiangfeng She, Auteur ; Xiaoyan Gu, Auteur ; Junzhong Tan, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 275 - 293 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] modèle 3D de l'espace urbain [Termes descripteurs IGN] réduction (complexité) [Termes descripteurs IGN] rendu réaliste [Termes descripteurs IGN] SIG 3D [Termes descripteurs IGN] simplification de surface [Termes descripteurs IGN] texturage [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The simplification of 3D building models to effectively reduce model complexity and improve rendering efficiency is an important component of 3D GIS. To reduce the data volume while preserving the model appearance, this article proposes a novel simplification method for complex 3D building models. Texture discontinuities are addressed by developing a new data model that records the mapping relation between the texture coordinates of each vertex and its neighboring triangles. The surface mesh of the building model is then segmented into regions, guided by topology and appearance. Finally, the mesh segmentation information is used to derive an improved error metric that considers both geometric and texture errors, and the texture coordinates are adjusted after each simplification operation. A series of comparative experiments alongside traditional methods demonstrates that our approach achieves a good balance between geometric fidelity and texture preservation, and produces simplified 3D building models with better visual quality. Numéro de notice : A2019-251 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12518 date de publication en ligne : 05/02/2019 En ligne : https://doi.org/10.1111/tgis.12518 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93007 [article]

Developing an optimized texture mapping for photorealistic 3D buildings / Jungil Lee in Transactions in GIS, vol 23 n° 1 (February 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 1 (February 2019) . - pp 1 - 21 Titre : Developing an optimized texture mapping for photorealistic 3D buildings Type de document : Article/Communication Auteurs : Jungil Lee, Auteur ; Byungyun Yang, Auteur Année de publication : 2019 Article en page(s) : pp 1 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] C++ [Termes descripteurs IGN] façade [Termes descripteurs IGN] image aérienne [Termes descripteurs IGN] modèle 3D de l'espace urbain [Termes descripteurs IGN] rendu réaliste [Termes descripteurs IGN] texturage Résumé : (auteur) Texture mapping generates photorealistic representations of three‐dimensional (3D) geometric objects and enhances the spatial perception of areas of interest. Over the past two decades, even though various approaches for 3D urban models have been investigated, their use has been limited because of the lack of spatial accuracy, details, and the complex processes. It is difficult to maintain highly detailed texture information without using a hybrid of aerial image and ground‐based imaging techniques, which are costly. Furthermore, it is hard to develop a fully automated process for 3D urban mapping that achieves high spatial accuracy. With regard to the issues, this research aims to develop a semi‐automated process for 3D building models that would help image‐based approaches. It helps acquire qualified texture information and improve the appearance of building façades in a large city. In particular, this research first investigates an optimal overlap of consecutive aerial images that generates sufficient information to texture each façade, thus making this process more cost‐effective. Second, this research develops an application to semi‐automatically build 3D buildings and textured 3D buildings. The application is developed in C++. The textured 3D building models are quantitatively and qualitatively assessed to determine the usability of the semi‐automated process. Numéro de notice : A2019-088 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12494 date de publication en ligne : 19/11/2018 En ligne : https://doi.org/10.1111/tgis.12494 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92235 [article]

3D urban geovisualization: in situ augmented and mixed reality experiments / Alexandre Devaux in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4 ([19/09/2018])    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > IV-4 [19/09/2018] . - pp 41 - 48 Titre : 3D urban geovisualization: in situ augmented and mixed reality experiments Type de document : Article/Communication Auteurs : Alexandre Devaux , Auteur ; Charlotte Hoarau , Auteur ; Mathieu Brédif , Auteur ; Sidonie Christophe , Auteur Congrès : ISPRS 2018, TC IV Mid-term Symposium 3D Spatial Information Science - The Engine of Change (1 - 5 octobre 2018; Delft, Pays-Bas), Auteur Année de publication : 2018 Projets : 1-Pas de projet / Article en page(s) : pp 41 - 48 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] appariement d'images [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] chaîne de traitement [Termes descripteurs IGN] estimation de pose [Termes descripteurs IGN] mise à l'échelle [Termes descripteurs IGN] modèle 3D de l'espace urbain [Termes descripteurs IGN] réalité augmentée [Termes descripteurs IGN] réalité mixte [Termes descripteurs IGN] rendu réaliste [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In this paper, we assume that augmented reality (AR) and mixed reality (MR) are relevant contexts for 3D urban geovisualization, especially in order to support the design of the urban spaces. We propose to design an in situ MR application, that could be helpful for urban designers, providing tools to interactively remove or replace buildings in situ. This use case requires advances regarding existing geovisualization methods. We highlight the need to adapt and extend existing 3D geovisualization pipelines, in order to adjust the specific requirements for AR/MR applications, in particular for data rendering and interaction. In order to reach this goal, we focus on and implement four elementary in situ and ex situ AR/MR experiments: each type of these AR/MR experiments helps to consider and specify a specific subproblem, i.e. scale modification, pose estimation, matching between scene and urban project realism, and the mix of real and virtual elements through portals, while proposing occlusion handling, rendering and interaction techniques to solve them. Numéro de notice : A2018-531 Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprs-annals-IV-4-41-2018 date de publication en ligne : 19/09/2018 En ligne : http://dx.doi.org/10.5194/isprs-annals-IV-4-41-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91482 [article]

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Configurable 3D scene synthesis and 2D image rendering with per-pixel ground truth using stochastic grammars / Chenfanfu Jiang in International journal of computer vision, vol 126 n° 9 (September 2018)  

Public [article]  inInternational journal of computer vision > vol 126 n° 9 (September 2018) . - pp 920 - 941 Titre : Configurable 3D scene synthesis and 2D image rendering with per-pixel ground truth using stochastic grammars Type de document : Article/Communication Auteurs : Chenfanfu Jiang, Auteur ; Shuyao Qi, Auteur ; Yixin Zhu, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 920 - 941 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] architecture pipeline [Termes descripteurs IGN] compréhension de l'image [Termes descripteurs IGN] image RVB [Termes descripteurs IGN] reconstruction automatique [Termes descripteurs IGN] rendu réaliste [Termes descripteurs IGN] scène intérieure [Termes descripteurs IGN] segmentation sémantique [Termes descripteurs IGN] synthèse d'image Résumé : (Auteur) We propose a systematic learning-based approach to the generation of massive quantities of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with associated ground truth information, for the purposes of training, benchmarking, and diagnosing learning-based computer vision and robotics algorithms. In particular, we devise a learning-based pipeline of algorithms capable of automatically generating and rendering a potentially infinite variety of indoor scenes by using a stochastic grammar, represented as an attributed Spatial And-Or Graph, in conjunction with state-of-the-art physics-based rendering. Our pipeline is capable of synthesizing scene layouts with high diversity, and it is configurable inasmuch as it enables the precise customization and control of important attributes of the generated scenes. It renders photorealistic RGB images of the generated scenes while automatically synthesizing detailed, per-pixel ground truth data, including visible surface depth and normal, object identity, and material information (detailed to object parts), as well as environments (e.g., illuminations and camera viewpoints). We demonstrate the value of our synthesized dataset, by improving performance in certain machine-learning-based scene understanding tasks—depth and surface normal prediction, semantic segmentation, reconstruction, etc.—and by providing benchmarks for and diagnostics of trained models by modifying object attributes and scene properties in a controllable manner. Numéro de notice : A2018-416 Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11263-018-1103-5 date de publication en ligne : 30/06/2018 En ligne : https://doi.org/10.1007/s11263-018-1103-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90899 [article]

The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men / Arzu Çöltekin in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 4 (July 2018) . - pp 339 - 353 Titre : The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Rebecca Francelet ; Kai-Florian Richter, Auteur ; John Thoresen, Auteur ; Sara Irina Fabrikant, Auteur Année de publication : 2018 Article en page(s) : pp 339 - 353 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] carte routière [Termes descripteurs IGN] lecture de carte [Termes descripteurs IGN] rendu réaliste [Termes descripteurs IGN] représentation spatiale [Termes descripteurs IGN] spatiocarte [Termes descripteurs IGN] test de performance [Termes descripteurs IGN] utilisateur civil [Vedettes matières IGN] Cartologie Résumé : (Auteur) We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that participants recall the routes more accurately with abstract road maps than with more realistic satellite maps. We also find that, irrespective of visual realism, participants with higher spatial abilities (high-spatial participants) are more accurate in memorizing map-based routes than participants with lower spatial abilities (low-spatial participants). On the other hand, added visual realism limits high-spatial participants in their route recall speed, while it seems not to influence the recall speed of low-spatial participants. Competition affects participants’ overall confidence positively, but does not affect their route recall performance neither in terms of accuracy nor speed. With this study, we provide further empirical evidence demonstrating that it is important to choose the appropriate map type considering task characteristics and spatial abilities. While satellite maps might be perceived as more fun to use, or visually more attractive than road maps, they also require more cognitive resources for many map-based tasks, which is true even for high-spatial users. Numéro de notice : A2018-135 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1344569 date de publication en ligne : 04/07/2017 En ligne : https://doi.org/10.1080/15230406.2017.1344569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89675 [article]

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3D immersive underground navigation [short paper] / Quoc Dinh Nguyen (2018)    

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Vers plus d'expressivité dans les représentations graphiques du territoire / Sidonie Christophe (2018) 

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An efficient data organization and scheduling strategy for accelerating large vector data rendering / Mingqiang Guo in Transactions in GIS, vol 21 n° 6 (December 2017)  

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Partial polygon pruning of hydrographic features in automated generalization / Alexander K. Stum in Transactions in GIS, vol 21 n° 5 (October 2017)  

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PolarGlobe : A web-wide virtual globe system for visualizing multidimensional, time-varying, big climate data / Wenwen Li in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

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Smart cartographic functionality for improving data visualization in map mashups / Nadia H. Panchaud in Cartographica, vol 52 n° 2 (Summer 2017)  

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User testing of dynamic geovisualizations : lessons learned and possible improvements for cartographic experiments / Cécile Saint-Marc in International journal of cartography, vol 3 n° 1 (June 2017)  

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Cartographic continuum rendering based on color and texture interpolation to enhance photo-realism perception / Charlotte Hoarau in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)  

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Where is it (in the map) ? recall and recognition of spatial information / Anne-Kathrin Bestgen in Cartographica, vol 52 n° 1 (Spring 2017)  

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Amélioration de la vitesse et de la qualité d'image du rendu basé image / Rodrigo Ortiz Cayón (2017)  

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