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Termes descripteurs IGN > sciences naturelles > physique > traitement d'image > acquisition d'images > modélisation de prise de vue > modélisation géométrique de prise de vue > orientation relative
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Geometric modelling and calibration of a spherical camera imaging system / Derek D. Lichti in Photogrammetric record, vol 35 n° 170 (June 2020)
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Titre : Geometric modelling and calibration of a spherical camera imaging system Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur ; David Jarron, Auteur ; Wynand Tredoux, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 123 - 142 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] acquisition d'images
[Termes descripteurs IGN] autoétalonnage
[Termes descripteurs IGN] chambre 3D
[Termes descripteurs IGN] colinéarité
[Termes descripteurs IGN] distorsion radiale
[Termes descripteurs IGN] instrument de photogrammétrie
[Termes descripteurs IGN] modélisation géométrique de prise de vue
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] reconstruction 3D
[Termes descripteurs IGN] système de numérisation mobileRésumé : (auteur) The Ladybug5 is an integrated, multi‐camera system that features a near‐spherical field of view. It is commonly deployed on mobile mapping systems to collect imagery for 3D reality capture. This paper describes an approach for the geometric modelling and self‐calibration of this system. The collinearity equations of the pinhole camera model are augmented with five radial lens distortion terms to correct the severe barrel distortion. Weighted relative orientation stability constraints are added to the self‐calibrating bundle adjustment solution to enforce the angular and positional stability between the Ladybug5’s six cameras. Centimetre‐level 3D reconstruction accuracy can be achieved, with image‐space precision and object‐space accuracy improved by 92% and 93% , respectively, relative to a two‐term lens distortion model. Sub‐pixel interior orientation stability and millimetre‐level relative orientation stability were also demonstrated over a 10‐month period. Numéro de notice : A2020-401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12315 date de publication en ligne : 29/06/2020 En ligne : https://doi.org/10.1111/phor.12315 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95438
in Photogrammetric record > vol 35 n° 170 (June 2020) . - pp 123 - 142[article]Innovative techniques of photogrammetry for 3D modeling / Vicenzo Barrile in Applied geomatics, Vol 11 n° 4 (December 2019)
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Titre : Innovative techniques of photogrammetry for 3D modeling Type de document : Article/Communication Auteurs : Vicenzo Barrile, Auteur ; Alice Pozzoli, Auteur ; Giuliana Bilotta, Auteur ; Antonino Fotia, Auteur Année de publication : 2019 Article en page(s) : pp 353–369 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie analytique
[Termes descripteurs IGN] Italie
[Termes descripteurs IGN] modèle non linéaire
[Termes descripteurs IGN] modélisation 3D
[Termes descripteurs IGN] orientation absolue
[Termes descripteurs IGN] orientation automatique
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] Raspberry Pi
[Termes descripteurs IGN] reconstruction d'image
[Termes descripteurs IGN] structure-from-motion
[Termes descripteurs IGN] vision par ordinateurRésumé : (auteur) This note presents the experimental results deriving from the application of two innovative photogrammetric techniques (with particular reference to non-conventional photogrammetric applications) for the production of time-space 3D models of the marine surface. Moreover, the first method (automatic three images processing (ATIP)) proposes some easy procedures to solve typical non-linear problems of analytical photogrammetry. In particular, once validated the technique of orientation of two images (two-step procedure based on two phases: relative orientation and absolute orientation, both characterized by non-linear functions), we propose a procedure for the automatic orientation of three images (the introduction of a third image allows avoiding human decision to find the final solution). The second method (Computer Vision Raspberry Pi—CVR) refers to the use of the “prompt” technique of computer vision (structure from motion) using five appropriately synchronized cameras to acquire simultaneously the various frames, thanks to the use of an acquisition system based on the use of Raspberry Pi. The experimentation was conducted both in the laboratory (on a model that allows to study a typical phenomenon of the Alpine Valtellina region, in the North of Italy) that directly at sea (on a portion of marine surface located in Reggio Calabria near the seafront). The results obtained show a substantial comparability of the results both between the two methods and with the actual data measured at sea with dedicated instrumentation. Numéro de notice : A2019-533 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-019-00264-9 date de publication en ligne : 22/05/2019 En ligne : https://doi.org/10.1007/s12518-019-00264-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94126
in Applied geomatics > Vol 11 n° 4 (December 2019) . - pp 353–369[article]Robust structure from motion based on relative rotations and tie points / Xin Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 5 (May 2019)
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Titre : Robust structure from motion based on relative rotations and tie points Type de document : Article/Communication Auteurs : Xin Wang, Auteur ; Franz Rottensteiner, Auteur ; Christian Heipke, Auteur Année de publication : 2019 Article en page(s) : pp 347 - 359 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] compensation locale par faisceaux
[Termes descripteurs IGN] équation linéaire
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] point de liaison (imagerie)
[Termes descripteurs IGN] rotation
[Termes descripteurs IGN] structure-from-motionRésumé : (Auteur) In this article, we present two new approaches for image orientation with a focus on robustness, starting with relative orientations of available image pairs, an incremental and a global one, and compare their performance. For the incremental approach, we first choose a suitable initial image pair, and we then iteratively extend the image cluster by adding new images. The rotations of these newly added images are estimated from relative rotations by single rotation averaging. In the next step, a linear equation system is set up for each new image to solve the translation parameters with triangulated tie points that can be viewed in that new image, followed by a resection for refinement. Finally, we refine the orientation parameters of the images by a local bundle adjustment. We also present a global method that consists of two parts: global rotation averaging, followed by setting up a large linear equation system to solve for all image translation parameters simultaneously; a final bundle adjustment is carried out to refine the results. We compare these two methods by analyzing results on different benchmark sets, including ordered and unordered image data sets from the Internet and two other challenging data sets to demonstrate the performance of our two approaches. We conclude that while the incremental method typically yields results of higher accuracy and performs better on the challenging data sets, our global method runs significantly faster. Numéro de notice : A2019-438 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.5.347 date de publication en ligne : 01/05/2019 En ligne : https://doi.org/10.14358/PERS.85.5.347 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92769
in Photogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 5 (May 2019) . - pp 347 - 359[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2019051 SL Revue Centre de documentation Revues en salle Disponible Integrated relative orientation based on point and line features via Plücker coordinates / Qinghong Sheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 4 (avril 2019)
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Titre : Integrated relative orientation based on point and line features via Plücker coordinates Type de document : Article/Communication Auteurs : Qinghong Sheng, Auteur ; Rui Yang, Auteur ; Hui Xiao, Auteur Année de publication : 2019 Article en page(s) : pp 305 - 311 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes descripteurs IGN] coordonnées plückeriennes
[Termes descripteurs IGN] méthode des moindres carrés
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] transformation de coordonnéesRésumé : (Auteur) Relative orientation based on point and line features can significantly reduce the problems caused by single flight strip bending and strengthen geometric stability. Nevertheless, the dimensional difference of points and lines and the inconsistency of their methods of representation result in low calculation efficiency. In this paper, it is proposed that three-dimensional points and four-dimensional lines are uniformly represented by Plücker coordinates to achieve integrated coordinate transformation. According to the geometric conditions that lines intersect lines and planes intersect planes, a relative orientation model based on pointline via Plücker coordinates (P-LPRO) is established, and the error equation is linearized by the least-squares method. Experimental results show that the integrated adjustment solution of P-LPRO is more accurate than the traditional method and can achieve faster convergence speed. Numéro de notice : A2019-164 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.4.305 date de publication en ligne : 01/04/2019 En ligne : https://doi.org/10.14358/PERS.85.4.305 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92569
in Photogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 4 (avril 2019) . - pp 305 - 311[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2019041 SL Revue Centre de documentation Revues en salle Disponible Structure from motion for ordered and unordered image sets based on random k-d forests and global pose estimation / Xin Wang in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)
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Titre : Structure from motion for ordered and unordered image sets based on random k-d forests and global pose estimation Type de document : Article/Communication Auteurs : Xin Wang, Auteur ; Franz Rottensteiner, Auteur ; Christian Heipke, Auteur Année de publication : 2019 Article en page(s) : pp 19 - 41 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes descripteurs IGN] appariement d'images
[Termes descripteurs IGN] chaîne de traitement
[Termes descripteurs IGN] classification barycentrique
[Termes descripteurs IGN] classification par forêts aléatoires
[Termes descripteurs IGN] compensation par faisceaux
[Termes descripteurs IGN] estimation de pose
[Termes descripteurs IGN] image captée par drone
[Termes descripteurs IGN] matrice de rotation
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] Ransac (algorithme)
[Termes descripteurs IGN] recouvrement d'images
[Termes descripteurs IGN] SIFT (algorithme)
[Termes descripteurs IGN] structure-from-motion
[Termes descripteurs IGN] vision par ordinateurRésumé : (auteur) In this paper, we present a new fast and robust method for structure from motion (SfM) for data sets potentially comprising thousands of ordered or unordered images. Our work focuses on the two most time-consuming procedures: (a) image matching and (b) pose estimation. For image matching, a new method employing a random k-d forest is proposed to quickly obtain pairs of overlapping images from an unordered set. After that, image matching and the estimation of relative orientation parameters are performed only for pairs found to be very likely to overlap. For pose estimation, we use a two-stage global approach, separating the determination of rotation matrices and translation parameters; the latter are computed simultaneously using a new method. In order to cope with outliers in the relative orientations, which global approaches are particularly sensitive to, we present a new constraint based on triplet loop closure errors of rotation and translation. Finally, a robust bundle adjustment is carried out to refine the image orientation parameters. We demonstrate the potential and limitations of our pipeline using various real-world datasets including ordered image data acquired from UAV (unmanned aerial vehicle) and other platforms as well as unordered data from the internet. The experiments show that our work performs better than comparable state-of-the-art SfM systems in terms of run time, while we achieve a similar accuracy and robustness. Numéro de notice : A2019-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.11.009 date de publication en ligne : 15/11/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.11.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91970
in ISPRS Journal of photogrammetry and remote sensing > vol 147 (January 2019) . - pp 19 - 41[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2019011 RAB Revue Centre de documentation En réserve 3L Disponible 081-2019013 DEP-EXM Revue MATIS Dépôt en unité Exclu du prêt 081-2019012 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt PermalinkThree-point-based solution for automated motion parameter estimation of a multi-camera indoor mapping system with planar motion constraint / Fangning He in ISPRS Journal of photogrammetry and remote sensing, vol 142 (August 2018)
PermalinkSmartphone‐based close‐range photogrammetric assessment of spherical objects / Inés Barbero‐García in Photogrammetric record, vol 33 n° 162 (June 2018)
PermalinkEvaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points / Alessio Calantropio (2018)
PermalinkPermalinkRelative orientation dependent on dual quaternions / Qing H. Sheng in Photogrammetric record, vol 30 n° 151 (September - November 2015)
PermalinkModalités de représentation en 3D de données issues du SIG2D, pour la conception et la simulation / Olivier Jest (2015)
PermalinkPhotogrammetric modeling of the relative orientation in underwater environments / Gili Telem in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)
PermalinkAnalyse multi-temporelle de la base de données photogrammétrique du Piton de la Fournaise (île de la Réunion) / Simon Moser (2012)
PermalinkPrecise orthoimage generation of Dunhuang wall painting / Y. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 2011)
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