Détail de l'autorité
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ISPRS 2018, TC II Mid-term Symposium, Towards Photogrammetry 2020 04/06/2018 07/06/2018 Riva del Garda Italie ISPRS OA Archives
nom du congrès :
ISPRS 2018, TC II Mid-term Symposium, Towards Photogrammetry 2020
début du congrès :
04/06/2018
fin du congrès :
07/06/2018
ville du congrès :
Riva del Garda
pays du congrès :
Italie
site des actes du congrès :
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Documents disponibles (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesEvaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points / Alessio Calantropio (2018)
Titre : Evaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points Type de document : Article/Communication Auteurs : Alessio Calantropio, Auteur ; Marc Pierrot-Deseilligny Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2018 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 42-2 Projets : 3-projet - voir note / Conférence : ISPRS 2018, TC II Mid-term Symposium, Towards Photogrammetry 2020 04/06/2018 07/06/2018 Riva del Garda Italie ISPRS OA Archives Importance : pp 185 - 191 Format : 21 x 30 cm Note générale : bibliographie
This work was supported and funded by the GAMHer project (Geomatics data Acquisition and Management for landscape and built Heritage in a European perspective), a 3-year project financed under the Italian PRIN 2015 framework (Progetti di Ricerca di Rilevante Interesse Nazionale).Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] bloc d'images
[Termes IGN] chaîne de traitement
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] MicMac
[Termes IGN] modélisation 3D
[Termes IGN] orientation relative
[Termes IGN] photogrammétrie métrologique
[Termes IGN] points homologues
[Termes IGN] qualité des données
[Termes IGN] reconstruction 3DRésumé : (auteur) Due to the increasing number of low-cost sensors, widely accessible on the market, and because of the supposed granted correctness of the semi-automatic workflow for 3D reconstruction, highly implemented in the recent commercial software, more and more users operate nowadays without following the rigorousness of classical photogrammetric methods. This behaviour often naively leads to 3D products that lacks metric quality assessment. This paper proposes and analyses an approach that gives the users the possibility to preserve the trustworthiness of the metric information inherent in the 3D model, without sacrificing the automation offered by modern photogrammetry software. At the beginning, the importance of Data Quality Assessment is outlined, together with some recall of photogrammetry best practices. With the purpose of guiding the user through a correct pipeline for a certified 3D model reconstruction, an operative workflow is proposed, focusing on the first part of the object reconstruction steps (tie-points extraction, camera calibration, and relative orientation). A new GUI (Graphical User Interface) developed for the open source MicMac suite is then presented, and a sample dataset is used for the evaluation of the photogrammetric block orientation using statistically obtained quality descriptors. The results and the future directions are then presented and discussed. Numéro de notice : C2018-044 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-2-185-2018 Date de publication en ligne : 30/05/2018 En ligne : https://doi.org/10.5194/isprs-archives-XLII-2-185-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91262
