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Improved wide-angle, fisheye and omnidirectional camera calibration / Steffen Urban in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 108 (October 2015) . - pp 72 – 79 Titre : Improved wide-angle, fisheye and omnidirectional camera calibration Type de document : Article/Communication Auteurs : Steffen Urban, Auteur ; Jens Leitloff, Auteur ; Stefan Hinz, Auteur Année de publication : 2015 Article en page(s) : pp 72 – 79 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] objectif grand angulaire [Termes IGN] orientation du capteur intégrée Résumé : (auteur) In this paper an improved method for calibrating wide-angle, fisheye and omnidirectional imaging systems is presented. We extend the calibration procedure proposed by Scaramuzza et al. by replacing the residual function and joint refinement of all parameters. In doing so, we achieve a more stable, robust and accurate calibration (up to factor 7) and can reduce the number of necessary calibration steps from five to three. After introducing the camera model and highlighting the differences from the current calibration procedure, we perform a comprehensive performance evaluation using several data sets and show the impact of the proposed calibration procedure on the calibration results. Numéro de notice : A2015-853 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.06.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79223 [article]

Traffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)  

Public [article]  inPhotogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 424 - 440 Titre : Traffic extraction and characterisation from optical remote sensing data Type de document : Article/Communication Auteurs : Stefan Hinz, Auteur ; D. Lenhart, Auteur ; Jens Leitloff, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 424 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] base de données routières [Termes IGN] données multisources [Termes IGN] extraction de données [Termes IGN] image aérienne [Termes IGN] image optique [Termes IGN] image satellite [Termes IGN] modèle sémantique de données [Termes IGN] prise en compte du contexte [Termes IGN] surveillance routière [Termes IGN] trafic routier Résumé : (Auteur) This paper presents a generic scheme to extract traffic information from both optical satellite imagery and optical airborne image sequences. The extraction is based on an explicit semantic model of traffic, from which, depending on the characteristics of the input data, different strategies for vehicle detection, vehicle queue extraction and motion estimation are derived. The model comprises different scales to exploit the scale-dependent properties of traffic imaged by optical sensors. It is furthermore extended by context information to include knowledge about background objects as well as metadata from a road database in a consistent way. Various tests with different input data have been carried out and compared with manually acquired ground truth data of vehicles and vehicle tracks. The results show clearly the high potential of airborne and spaceborne traffic monitoring, but also indicate room for methodological improvements and exhibit some inherent sensor-related drawbacks. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-421 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00497.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00497.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29492 [article]