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Assessment of next-best-view algorithms performance with various 3D scanners and manipulator / M. Karaszewski in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 320-333 Titre : Assessment of next-best-view algorithms performance with various 3D scanners and manipulator Type de document : Article/Communication Auteurs : M. Karaszewski, Auteur ; M. Adamczyk, Auteur ; R. Sitnik, Auteur Année de publication : 2016 Article en page(s) : pp 320-333 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse comparative [Termes IGN] capteur imageur [Termes IGN] évaluation des paramètres [Termes IGN] orientation du capteur [Termes IGN] robot [Termes IGN] système de numérisation mobile [Termes IGN] test de performance Résumé : (Auteur) The problem of calculating three dimensional (3D) sensor position (and orientation) during the digitization of real-world objects (called next best view planning or NBV) has been an active topic of research for over 20 years. While many solutions have been developed, it is hard to compare their quality based only on the exemplary results presented in papers. We implemented 13 of the most popular NBV algorithms and evaluated their performance by digitizing five objects of various properties, using three measurement heads with different working volumes mounted on a 6-axis robot with a rotating table for placing objects. The results obtained for the 13 algorithms were then compared based on four criteria: the number of directional measurements, digitization time, total positioning distance, and surface coverage required to digitize test objects with available measurement heads. Numéro de notice : A2016-786 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82501 [article]