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Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda / Guillaume Touya in International journal of cartography, vol 5 n° 1 (March 2019)  

Public [article]  inInternational journal of cartography > vol 5 n° 1 (March 2019) Titre : Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Sidonie Christophe , Auteur ; Jean-Marie Favreau, Auteur ; Mohamed Amine Ben Rhaiem, Auteur Année de publication : 2019 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] automatisation [Termes descripteurs IGN] carte sur mesure [Termes descripteurs IGN] carte tactile [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] impression 3D [Termes descripteurs IGN] malvoyant [Termes descripteurs IGN] style cartographique [Vedettes matières IGN] Généralisation Résumé : (auteur) Tactile maps are essential tools for visually impaired people to comprehend space and to support the simple pedestrian trips made difficult by their disability. Tactile maps are created manually and printed by specialists, and it takes a large amount of time to create a new one, which prevents using them on demand for everyday use. As a consequence, researchers and cartographers try to automate this creation process, but the existing automated derivation processes do not include generalization or advanced stylization steps, which limits their effectiveness. This paper reports first experiments to include such complex automated cartography processes to provide on-demand tactile maps for visually impaired people. These first experiments were more intended to raise real research issues than solve them, and the paper discusses these issues in a research agenda to achieve automatically derived tactile maps. Numéro de notice : A2018-379 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2018.1486784 date de publication en ligne : 07/08/2018 En ligne : https://doi.org/10.1080/23729333.2018.1486784 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90797 [article]

A novel computer-aided tree species identification method based on burst wind segmentation of 3D bark textures / Alice Ahlem Othmani in Machine Vision and Applications, vol 27 n° 5 (July 2016)  

Public [article]  inMachine Vision and Applications > vol 27 n° 5 (July 2016) Titre : A novel computer-aided tree species identification method based on burst wind segmentation of 3D bark textures Type de document : Article/Communication Auteurs : Alice Ahlem Othmani, Auteur ; Cansen Jiang, Auteur ; Nicolas Lomenie, Auteur ; Jean-Marie Favreau, Auteur ; Alexandre Piboule, Auteur ; Lew F. C. Lew Yan Voon, Auteur Année de publication : 2016 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] arbre (flore) [Termes descripteurs IGN] classification [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] extraction d'arbres [Termes descripteurs IGN] forêt tempérée [Termes descripteurs IGN] inventaire forestier (techniques et méthodes) [Termes descripteurs IGN] reconnaissance de formes [Termes descripteurs IGN] segmentation [Termes descripteurs IGN] texture [Termes descripteurs IGN] zone saillante 3D Résumé : (auteur) Terrestrial Laser Scanning (TLS) systems have gained increasing popularity in the forestry domain and are today widely used for the automatic measurement of forest inventory attributes. Nevertheless, to the best of our knowledge the problem of tree species recognition from TLS data has received very little attention from the scientific community. It is in this context that we present a novel Computer-Aided Tree Species Identification method based on 3D bark texture analysis. The novelty of our approach resides in the following three key points: (1) 3D salient regions extraction using a new morphological segmentation method that we have called Burst Wind Segmentation, (2) the extraction and pre-annotation of a collection of typical 3D bark patterns, known as scars, from each of the tree species. The pre-annotated scars are stored in a dictionary that we have called ScarBook and they are used as a reference for the comparison of the 3D salient segmented regions, (3) a wide variety of advanced shape, saliency, curvature and roughness features are extracted from the 3D salient segmented regions. To study the performance of our method, an experiment has been carried out on a dataset composed of 969 patches which correspond to 30 cm long segments of the trunk at breast height. Six species among the most dominant species in European forests have been tested with patches of different diameter at breast height values so as to study the identification accuracy with respect to age. The results obtained are very encouraging and promising and they confirm the possibility of identifying tree species using TLS data. Numéro de notice : A2016--134 Thématique : FORET Nature : Article En ligne : https://doi.org/10.1007/s00138-015-0738-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85267 [article]