Descripteur



Etendre la recherche sur niveau(x) vers le bas
Post‐filtering with surface orientation constraints for stereo dense image matching / Xu Huang in Photogrammetric record, vol 35 n° 171 (September 2020)
![]()
[article]
Titre : Post‐filtering with surface orientation constraints for stereo dense image matching Type de document : Article/Communication Auteurs : Xu Huang, Auteur ; Rongjun Qin, Auteur Année de publication : 2020 Article en page(s) : pp 375-401 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] appariement d'images
[Termes descripteurs IGN] corrélation automatique de points homologues
[Termes descripteurs IGN] corrélation d'images
[Termes descripteurs IGN] filtrage numérique d'image
[Termes descripteurs IGN] modèle numérique de surface
[Termes descripteurs IGN] modèle stéréoscopique
[Termes descripteurs IGN] orientation d'imageRésumé : (Auteur) Dense image matching (DIM) is a critical technique when computing accurate 3D geometric information for many photogrammetric applications. Most DIM methods adopt first‐order regularisation priors for efficient matching, which often introduce stepped biases (also called fronto‐parallel biases) into the matching results. To remove these biases and compute more accurate matching results, this paper proposes a novel post‐filtering method by adjusting the surface orientation of each pixel in the matching process. The core algorithm formulates the post‐filtering as the optimisation of a global energy function with second‐order regularisation priors. A compromise solution of the energy function is computed by breaking the optimisation into a collection of sub‐optimisations of each pixel in a local adaptive window. The proposed method was compared with several state‐of‐the‐art post‐filtering methods on indoor, aerial and satellite datasets. The comparisons demonstrate that the proposed method obtains the highest post‐filtering accuracies on all datasets. Numéro de notice : A2020-437 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12333 date de publication en ligne : 20/09/2020 En ligne : https://doi.org/10.1111/phor.12333 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95843
in Photogrammetric record > vol 35 n° 171 (September 2020) . - pp 375-401[article]
Titre : Close-range photogrammetry and 3D imaging Type de document : Monographie Auteurs : Thomas Luhmann, Auteur ; Stuart Robson, Auteur ; Stephen Kyle, Auteur ; Jan Boehm, Auteur Editeur : Berlin, New York : Walter de Gruyter Année de publication : 2020 Importance : 822 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-3-11-060724-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] analyse d'image numérique
[Termes descripteurs IGN] étalonnage
[Termes descripteurs IGN] image 3D
[Termes descripteurs IGN] instrument de photogrammétrie
[Termes descripteurs IGN] logiciel de photogrammétrie
[Termes descripteurs IGN] modélisation 3D
[Termes descripteurs IGN] orientation d'image
[Termes descripteurs IGN] photogrammétrie métrologique
[Termes descripteurs IGN] précision des mesures
[Termes descripteurs IGN] reconstruction 3D
[Termes descripteurs IGN] transformation mathématiqueIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Editeur) This is the third edition of the well-known guide to close-range photogrammetry. It provides a thorough presentation of the methods, mathematics, systems and applications which comprise the subject of close-range photogrammetry, which uses accurate imaging techniques to analyse the three-dimensional shape of a wide range of manufactured and natural objects. Note de contenu : 1. Introduction
2. Mathematical fundamentals
3. Imaging technology
4. Analytical methods
5. Digital image analysis
6. Measuring tasks and systems
7. Measurement design and quality
8. Example applicationsNuméro de notice : 26341 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95700 Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 26341-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Automatic sensor orientation using horizontal and vertical line feature constraints / Yanbiao Sun in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)
![]()
[article]
Titre : Automatic sensor orientation using horizontal and vertical line feature constraints Type de document : Article/Communication Auteurs : Yanbiao Sun, Auteur ; Stuart Robson, Auteur ; Daniel Scott, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 172 - 184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] angle azimutal
[Termes descripteurs IGN] angle vertical
[Termes descripteurs IGN] compensation par faisceaux
[Termes descripteurs IGN] coordonnées horizontales
[Termes descripteurs IGN] extraction de traits caractéristiques
[Termes descripteurs IGN] forme linéaire
[Termes descripteurs IGN] image aérienne
[Termes descripteurs IGN] ligne caractéristique
[Termes descripteurs IGN] orientation d'image
[Termes descripteurs IGN] orientation du capteur
[Termes descripteurs IGN] point d'appuiRésumé : (Auteur) To improve the accuracy of sensor orientation using calibrated aerial images, this paper proposes an automatic sensor orientation method utilizing horizontal and vertical constraints on human-engineered structures, addressing the limitations faced with sub-optimal number of Ground Control Points (GCPs) within a scene. Related state-of-the-art methods rely on structured building edges, and necessitate manual identification of end points. Our method makes use of line-segments but eliminates the need for these matched end points, thus eliminating the need for inefficient manual intervention.
To achieve this, a 3D line in object space is represented by the intersection of two planes going through two camera centers. The normal vector of each plane can be written as a function of a pair of azimuth and elevations angles. The normal vector of the 3D line can be expressed by the cross product of these two plane’s normal vectors. Then, we create observation functions of horizontal and vertical line constraints based on the zero-vector cross-product and the dot-product of the normal vector of the 3D lines. The observation functions of the horizontal and vertical lines are then introduced into a hybrid Bundle Adjustment (BA) method as constraints, including observed image points as well as observed line segment projections. Finally, to assess the feasibility and effectiveness of the proposed method, simulated and real data are tested. The results demonstrate that, in cases with only 3 GCPs, the accuracy of the proposed method utilizing line features extracted automatically, is increased by 50%, compared to a BA using only point constraints.Numéro de notice : A2019-140 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.011 date de publication en ligne : 28/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.011 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92478
in ISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 172 - 184[article]Réservation
Réserver ce documentExemplaires (3)
Code-barres Cote Support Localisation Section Disponibilité 081-2019041 RAB Revue Centre de documentation En réserve 3L 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 A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas / Phillipp Jende in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)
![]()
[article]
Titre : A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas Type de document : Article/Communication Auteurs : Phillipp Jende, Auteur ; Francesco Nex, Auteur ; Markus Gerke, Auteur ; M. George Vosselman, Auteur Année de publication : 2018 Article en page(s) : pp 86 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] appariement géométrique
[Termes descripteurs IGN] extraction de traits caractéristiques
[Termes descripteurs IGN] filtre de Wallis
[Termes descripteurs IGN] GNSS assisté pour la navigation
[Termes descripteurs IGN] image aérienne
[Termes descripteurs IGN] image terrestre
[Termes descripteurs IGN] orientation d'image
[Termes descripteurs IGN] orthoimage
[Termes descripteurs IGN] point d'appui
[Termes descripteurs IGN] précision décimétrique
[Termes descripteurs IGN] système de numérisation mobile
[Termes descripteurs IGN] zone urbaineRésumé : (Auteur) Mobile Mapping (MM) solutions have become a significant extension to traditional data acquisition methods over the last years. Independently from the sensor carried by a platform, may it be laser scanners or cameras, high-resolution data postings are opposing a poor absolute localisation accuracy in urban areas due to GNSS occlusions and multipath effects. Potentially inaccurate position estimations are propagated by IMUs which are furthermore prone to drift effects. Thus, reliable and accurate absolute positioning on a par with MM's high-quality data remains an open issue. Multiple and diverse approaches have shown promising potential to mitigate GNSS errors in urban areas, but cannot achieve decimetre accuracy, require manual effort, or have limitations with respect to costs and avail-ability. This paper presents a fully automatic approach to support the correction of MM imaging data based on correspondences with airborne nadir images. These correspondences can be employed to correct the MM plat-form's orientation by an adjustment solution. Unlike MM as such, aerial images do not suffer from GNSS oc-clusions, and their accuracy is usually verified by employing well-established methods using ground control points. However, a registration between MM and aerial images is a non-standard matching scenario, and requires several strategies to yield reliable and accurate correspondences. Scale, perspective and content strongly vary between both image sources, thus traditional feature matching methods may fail. To this end, the registration process is designed to focus on common and clearly distinguishable elements, such as road markings, manholes, or kerbstones. With a registration accuracy of about 98%, reliable tie information between MM and aerial data can be derived. Even though, the adjustment strategy is not covered in its entirety in this paper, accuracy results after adjustment will be presented. It will be shown that a decimetre accuracy is well achievable in a real data test scenari Numéro de notice : A2018-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.017 date de publication en ligne : 30/04/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90397
in ISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 86 - 99[article]Réservation
Réserver ce documentExemplaires (3)
Code-barres Cote Support Localisation Section Disponibilité 081-2018071 RAB Revue Centre de documentation En réserve 3L Disponible 081-2018073 DEP-EXM Revue MATIS Dépôt en unité Exclu du prêt 081-2018072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Second iteration of photogrammetric processing to refine image orientation with improved tie-points / Truong Giang Nguyen in Sensors, vol 18 n° 7 (July 2018)
![]()
![]()
[article]
Titre : Second iteration of photogrammetric processing to refine image orientation with improved tie-points Type de document : Article/Communication Auteurs : Truong Giang Nguyen, Auteur ; Jean-Michaël Muller, Auteur ; Ewelina Rupnik , Auteur ; Christian Thom
, Auteur ; Marc Pierrot-Deseilligny
, Auteur
Année de publication : 2018 Projets : 1-Pas de projet / Article en page(s) : n° 2150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] compensation par faisceaux
[Termes descripteurs IGN] données localisées 3D
[Termes descripteurs IGN] étalonnage de chambre métrique
[Termes descripteurs IGN] image captée par drone
[Termes descripteurs IGN] itération
[Termes descripteurs IGN] orientation d'image
[Termes descripteurs IGN] point de liaison (imagerie)
[Termes descripteurs IGN] reconstruction 3D
[Termes descripteurs IGN] semis de pointsRésumé : (auteur) Photogrammetric processing is available in various software solutions and can easily deliver 3D pointclouds as accurate as 1 pixel. Certain applications, e.g., very accurate shape reconstruction in industrial metrology or change detection for deformation studies in geosciences, require results of enhanced accuracy. The tie-point extraction step is the opening in the photogrammetric processing chain and therefore plays a key role in the quality of the subsequent image orientation, camera calibration and 3D reconstruction. Improving its precision will have an impact on the obtained 3D. In this research work we describe a method which aims at enhancing the accuracy of image orientation by adding a second iteration photogrammetric processing. The result from the classical processing is used as a priori information to guide the extraction of refined tie-points of better photogrammetric quality. Evaluated on indoor and UAV acquisitions, the proposed methodology shows a significant improvement on the obtained 3D point accuracy. Numéro de notice : A2018-390 Affiliation des auteurs : LaSTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s18072150 date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.3390/s18072150 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90807
in Sensors > vol 18 n° 7 (July 2018) . - n° 2150[article]Documents numériques
en open access
Second iteration of photogrammetric processing ... - pdf éditeurAdobe Acrobat PDFAutomatic measurement of control points for aerial image orientation / Adilson Berveglieri in Photogrammetric record, vol 32 n° 158 (June - july 2017)
PermalinkTriangulating social multimedia content for event localization using Flickr and Twitter / George Panteras in Transactions in GIS, vol 19 n° 5 (October 2015)
PermalinkSimultaneous registration of gnomonic projections and central perspectives / Luigi Barazzetti in Photogrammetric record, vol 29 n° 147 (September - November 2014)
PermalinkAutomatic orientation and 3D modelling from markerless rock art imagery / J. Lerma in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
PermalinkReconnaissance de bâtiments et localisation de photographies au moyen d'un descripteur de texture / W. Suleiman in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)
PermalinkFast AT: a simple procedure for quasi direct orientation / M. Blazquez in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)
PermalinkApero, an open source bundle adjusment software for automatic calibration and orientation of set of images / Marc Pierrot-Deseilligny (2011)
PermalinkPermalinkAcquisition de nuages de points denses par photogrammétrie terrestre : Application à la mission d'archéologie de Kilwa, Arabie Saoudite / J.F. Hullo in XYZ, n° 122 (mars - mai 2010)
PermalinkPrecise, automatic and fast method for vanishing point detection / Mahzad Kalantari in Photogrammetric record, vol 24 n° 127 (September - November 2009)
Permalink