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BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model / Debaditya Acharya in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)
Titre : BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model Type de document : Article/Communication Auteurs : Debaditya Acharya, Auteur ; Milad Ramezani, Auteur ; Kourosh Khoshelham, Auteur ; Stephan Winter, Auteur Année de publication : 2019 Article en page(s) : pp 157 - 171 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes descripteurs IGN] algorithme de Gauss-Newton
[Termes descripteurs IGN] appariement de données localisées
[Termes descripteurs IGN] corrélation à l'aide de traits caractéristiques
[Termes descripteurs IGN] estimation de pose
[Termes descripteurs IGN] filtre de Kalman
[Termes descripteurs IGN] longueur focale
[Termes descripteurs IGN] Matlab
[Termes descripteurs IGN] méthode des moindres carrés
[Termes descripteurs IGN] modèle 3D du site
[Termes descripteurs IGN] positionnement en intérieur
[Termes descripteurs IGN] trajectoireRésumé : (Auteur) This article presents an accurate and robust visual indoor localisation approach that not only is infrastructure-free, but also avoids accumulation error by taking advantage of (1) the widespread ubiquity of mobile devices with cameras and (2) the availability of 3D building models for most modern buildings. Localisation is performed by matching image sequences captured by a camera, with a 3D model of the building in a model-based visual tracking framework. Comprehensive evaluation of the approach with a photo-realistic synthetic dataset shows the robustness of the localisation approach under challenging conditions. Additionally, the approach is tested and evaluated on real data captured by a smartphone. The results of the experiments indicate that a localisation accuracy better than 10 cm can be achieved by using this approach. Since localisation errors do not accumulate the proposed approach is suitable for indoor localisation tasks for long periods of time and augmented reality applications, without requiring any local infrastructure. A MATLAB implementation can be found on https://github.com/debaditya-unimelb/BIM-Tracker. Numéro de notice : A2019-139 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.014 date de publication en ligne : 27/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.014 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92473
in ISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 157 - 171[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2019041 SL Revue Centre de documentation Revues en salle Disponible 081-2019043 DEP-RECP Revue MATIS Dépôt en unité Exclu du prêt 081-2019042 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Efficiently annotating object images with absolute size information using mobile devices Type de document : Article/Communication Auteurs : Martin Hofmann, Auteur ; Marco Seeland, Auteur ; Patrick Mäder, Auteur Année de publication : 2019 Article en page(s) : pp 207 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes descripteurs IGN] appareil portable
[Termes descripteurs IGN] appariement automatique
[Termes descripteurs IGN] image numérique
[Termes descripteurs IGN] longueur focaleRésumé : (Auteur) The projection of a real world scenery to a planar image sensor inherits the loss of information about the 3D structure as well as the absolute dimensions of the scene. For image analysis and object classification tasks, however, absolute size information can make results more accurate. Today, the creation of size annotated image datasets is effort intensive and typically requires measurement equipment not available to public image contributors. In this paper, we propose an effective annotation method that utilizes the camera within smart mobile devices to capture the missing size information along with the image. The approach builds on the fact that with a camera, calibrated to a specific object distance, lengths can be measured in the object’s plane. We use the camera’s minimum focus distance as calibration distance and propose an adaptive feature matching process for precise computation of the scale change between two images facilitating measurements on larger object distances. Eventually, the measured object is segmented and its size information is annotated for later analysis. A user study showed that humans are able to retrieve the calibration distance with a low variance. The proposed approach facilitates a measurement accuracy comparable to manual measurement with a ruler and outperforms state-of-the-art methods in terms of accuracy and repeatability. Consequently, the proposed method allows in-situ size annotation of objects in images without the need for additional equipment or an artificial reference object in the scene. Numéro de notice : A2018-600 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11263-018-1093-3 date de publication en ligne : 24/05/2018 En ligne : https://doi.org/10.1007/s11263-018-1093-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92527
in International journal of computer vision > vol 127 n° 2 (February 2019) . - pp 207 - 224[article]
Titre : Automatic camera calibration in close range photogrammetry Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur Année de publication : 2013 Article en page(s) : pp 381 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] aberration chromatique
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] chambre de prise de vue numérique
[Termes descripteurs IGN] chambre métrique
[Termes descripteurs IGN] espace objet
[Termes descripteurs IGN] étalonnage de chambre métrique
[Termes descripteurs IGN] longueur focale
[Termes descripteurs IGN] orientation interne
[Termes descripteurs IGN] photogrammétrie métrologiqueRésumé : (Auteur) Automatic camera calibration using self-calibration with the aid of coded targets is now very much the norm in close-range photogrammetry. This is irrespective of whether the cameras to be calibrated are high-end metric, or the digital SLRs and consumer-grade models that are increasingly being employed for image-based 3D measurement. Automation has greatly simplified the calibration task, but there are real prospects that important camera calibration issues may be overlooked in what has become an almost black-box operation. This paper discusses the impact of a number of such issues, some of which relate to the functional model adopted for self-calibration, and others to practical aspects which need to be taken into account when pursuing optimal calibration accuracy and integrity. Issues discussed include interior orientation stability, calibration reliability, focal plane distortion, image point distribution, variation in lens distortion with image scale, color imagery and chromatic aberration, and whether 3D object space control is warranted. By appreciating and accounting for these issues, users of automatic camera calibration will enhance the prospect of achieving an optimal recovery of scene-independent camera calibration parameters. Numéro de notice : A2013-207 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.381 En ligne : https://doi.org/10.14358/PERS.79.4.381 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32345
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 381 - 388[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2013041 RAB Revue Centre de documentation En réserve 3L Disponible 105-2013042 RAB Revue Centre de documentation En réserve 3L Disponible
Titre : A large format camera for national mapping purposes Type de document : Article/Communication Auteurs : Jean Philippe Souchon, Auteur ; Christian Thom Année de publication : 2012 Article en page(s) : pp 48 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] chambre de prise de vue numérique
[Termes descripteurs IGN] colorimétrie
[Termes descripteurs IGN] géoréférencement direct
[Termes descripteurs IGN] longueur focale
[Termes descripteurs IGN] système de prise de vue modulaireRésumé : (Auteur) IGN CAMv2 project started in 2006 and is composed of two main steps. At first, a four-channel medium format camera system was developed. The basic element of this new system is a camera head built around the Kodak KAF-39 000, 39 mega-pixel array sensor (7,216 x 5,412 pixels). Three systems in this medium format colour configuration, with four nadir-viewing camera heads (RGB and Near-lnfrared-NIR), operated for IGN national orthophotography production, during the summer 2009. Thanks to the versatile and modular aspect of the new camera system, the second step of our project was reachable: gathering eight camera heads on the same gyro-stabilised mount in order to achieve 155 megapixels pan-sharpened images with a pan-sharpening ratio of 2 x 2, and a final swath width of about 14,400 pixels. This large format configuration has been designed with two combinations of focal lengths. A 45-90 mm version allows 3D city models acquisition, and a 60-120 mm version for orthophotography acquisition. Good realistic colorimetric quality is obtained with this camera system thanks to specially designed colour filters. This system can be linked to a FMS/INS in order to obtain a direct geo-referencing of images, and the user friendliness for the operators of a state-of-the-art flight management software. Numéro de notice : A2012-567 Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32013
in Revue Française de Photogrammétrie et de Télédétection > n° 200 (Novembre 2012) . - pp 48 - 53[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-2012051 RAB Revue Centre de documentation En réserve 3L Disponible 018-2012052 RAB Revue Centre de documentation En réserve 3L Disponible
Titre : Parameterising internal camera geometry with focusing distance Type de document : Article/Communication Auteurs : E. Sanz-Ablanedo, Auteur ; Jim H. Chandler, Auteur ; R. Wackrow, Auteur Année de publication : 2012 Article en page(s) : pp 210 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] étalonnage de chambre métrique
[Termes descripteurs IGN] étalonnage géométrique
[Termes descripteurs IGN] longueur focale
[Termes descripteurs IGN] orientation interne
[Termes descripteurs IGN] photogrammétrie terrestreRésumé : (Auteur) A study on the variation of internal camera geometry (principal distance, principal point position and lens distortion parameters) with different focus distances has been conducted. Results demonstrate that variations of parameters are continuous and predictable, allowing a new way to describe internal camera geometry. The classical constant parameters, c, x p , y p , K 1 , K 2 , P 1 and P 2 , are replaced by continuous functions, c(y), x p (y), y p(y), K 1 (y), K 2 (y), P 1 (y) andP 2 (y), where y is a variable describing the focus position. Incorporation of y as a metadata tag (for example, Exif header) of a photograph jointly with a parameterised definition of camera geometry would allow full use of the autofocus camera function; enabling maximum effective depth of field, better match of the plane of focus with the object’s position and higher reliability. Additionally, conducted tests suggest the parameterised definition of internal geometry could help to locate and correct linear dependences between adjusted parameters, potentially improving the precision and accuracy of calibration. Numéro de notice : A2012-307 Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00677.x date de publication en ligne : 20/06/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00677.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31753
in Photogrammetric record > vol 27 n° 138 (June - August 2012) . - pp 210 - 226[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012021 SL Revue Centre de documentation Revues en salle Disponible PermalinkCalibration du photothéodolite de l'IGN et traitements d'images pour la surveillance d'ouvrages au sein de l'unité des travaux spéciaux / S. Doz (2005)
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