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Automatic illumination-invariant image-to-geometry registration in outdoor environments / Christian Kehl in Photogrammetric record, vol 32 n° 158 (June - july 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 158 (June - july 2017) . - pp 93 - 118 Titre : Automatic illumination-invariant image-to-geometry registration in outdoor environments Type de document : Article/Communication Auteurs : Christian Kehl, Auteur ; Simon J. Buckley, Auteur ; Sophie Viseur, Auteur ; Robert L. Gawthorpe, Auteur ; John Howell, Auteur Année de publication : 2017 Article en page(s) : pp 93 - 118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] analyse comparative [Termes IGN] appariement automatique [Termes IGN] géométrie de l'image [Termes IGN] intensité lumineuse [Termes IGN] modèle numérique de surface [Termes IGN] point d'appui [Termes IGN] SIFT (algorithme) [Termes IGN] traitement d'image Résumé : (Auteur) Image-to-geometry registration is the basis of many applications for texturing and interpreting 3D surface models. Feature-based matching is an established, automatic approach which creates 2D–3D correspondences based on salient points and their radiometric neighbourhood. This paper presents an experimental approach for assessing the accuracy of several matching algorithms in challenging imaging environments that are subject to significant outdoor illumination variations. Furthermore, a collection of accuracy assessment metrics and quality heuristics emerge from the presented approach to guide a user during the examination of registration results. As a result of the experiments, two novel salient point descriptor matching combinations outperform the standard scale-invariant feature transform (SIFT) operator on the task of image-to-image and image-to-geometry registration under varying illumination conditions. Numéro de notice : A2017-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12188 En ligne : http://doi.org/10.1111/phor.12188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85772 [article]

Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model / Alessandra A. Sima in Photogrammetric record, vol 29 n° 145 (March - May 2014)  

Public [article]  inPhotogrammetric record > vol 29 n° 145 (March - May 2014) . - pp 10 - 29 Titre : Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model Type de document : Article/Communication Auteurs : Alessandra A. Sima, Auteur ; Simon J. Buckley, Auteur ; Tobias H. Kurz, Auteur ; Danilo Schneider, Auteur Année de publication : 2014 Article en page(s) : pp 10 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] compensation par faisceaux [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image hyperspectrale [Termes IGN] image panoramique [Termes IGN] image terrestre [Termes IGN] orientation externe [Termes IGN] points homologues [Termes IGN] SIFT (algorithme) [Termes IGN] superposition d'images Résumé : (Auteur) Diverse applications can benefit from the integration of data acquired by a new generation of close-range imaging sensors with high-resolution three-dimensional (3D) geometric data. However, such integration requires increased automation and efficiency of image-data registration to guarantee adoption by users beyond the geomatics community. This paper presents a semi-automated method for registering terrestrial panoramic hyperspectral imagery with lidar models and conventional digital photography. The method relies on finding corresponding points between images acquired in significantly different parts of the electromagnetic spectrum, from different viewpoints, and with different spatial resolution and geometric projections. Optimisation of the scale invariant feature transform (SIFT) operator was required to ensure a sufficient number of homologous points, as well as a routine for eliminating false matches. A band selection routine maximises the number of points found while minimising the input data for SIFT. Three-dimensional object coordinates were derived in the lidar model and used as control points in a bundle block adjustment to determine the hyperspectral exterior orientation and intrinsic camera parameters. The method developed was applied to two datasets with different characteristics, and the results indicate that the proposed method is a time-saving alternative to manual approaches. Numéro de notice : A2014-153 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12049 Date de publication en ligne : 13/02/2014 En ligne : https://doi.org/10.1111/phor.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33058 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2014011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

XXIInd [22nd] international congress of photogrammetry and remote sensing / Paul R. Newby in Photogrammetric record, vol 28 n° 141 (March - May 2013)  

Public [article]  inPhotogrammetric record > vol 28 n° 141 (March - May 2013) . - pp 43 - 73 Titre : XXIInd [22nd] international congress of photogrammetry and remote sensing Type de document : Article/Communication Auteurs : Paul R. Newby, Éditeur scientifique ; Simon J. Buckley, Auteur ; Ian J. Downman, Auteur ; Jane E. Drummond, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 43 - 73 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie [Termes IGN] photogrammétrie Résumé : (Auteur) The XXIInd International Congress of Photogrammetry and Remote Sensing was held at the Melbourne Convention and Exhibition Centre, Victoria, Australia, from 25th August to 1st September 2012. Reports are given on the Congress as a whole, including the General Assembly, Plenary and Special sessions, some Technical Commission activities and the Congress Exhibition. Papers from the Congress are published in Volume XXXIX of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences and Volume I of the new ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Numéro de notice : A2013-151 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12014 Date de publication en ligne : 27/03/2013 En ligne : https://doi.org/10.1111/phor.12014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32289 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2013011	RAB	Revue	Centre de documentation	En réserve L003	Disponible