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Analysis of free image-based modelling systems applied to support topographic measurements / José Miguel Caldera-Cordero in Survey review, vol 51 n° 367 (July 2019)  

Public [article]  inSurvey review > vol 51 n° 367 (July 2019) . - pp 300 - 309 Titre : Analysis of free image-based modelling systems applied to support topographic measurements Type de document : Article/Communication Auteurs : José Miguel Caldera-Cordero, Auteur ; María-Eugenia Polo, Auteur Année de publication : 2019 Article en page(s) : pp 300 - 309 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] lever topographique [Termes descripteurs IGN] logiciel de modélisation [Termes descripteurs IGN] logiciel libre [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] reconstruction 3D [Termes descripteurs IGN] service web [Termes descripteurs IGN] structure-from-motion Mots-clés libres : ReMake  CMP Web Service  Arc 3D  Visual SfM Résumé : (Auteur) The image-based modelling systems create 3D models of objects using a set of overlapping photographs. Several applications are available that do not require a user expert or expensive equipment. In this paper, four free systems were applied in two cases: ReMake, which is a freemium software, CMP Web Service and Arc 3D, which are free web services, and Visual SfM, which is a free software. The purpose of this study is to evaluate the applications that support topographical measurements and to assess the potential for their use in accurate modelling. The results show that these systems can be an auxiliary technique for surveyors and can provide an advantage in some cases. Numéro de notice : A2019-360 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1451271 date de publication en ligne : 23/03/2018 En ligne : https://doi.org/10.1080/00396265.2018.1451271 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93437 [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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 5 (May 2019) . - pp 347 - 359 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-motion Résumé : (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 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 [article]

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BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images / Debaditya Acharya in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 245 - 258 Titre : BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images Type de document : Article/Communication Auteurs : Debaditya Acharya, Auteur ; Kourosh Khoshelham, Auteur ; Stephan Winter, Auteur Année de publication : 2019 Article en page(s) : pp 245 - 258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] apprentissage profond [Termes descripteurs IGN] compréhension de l'image [Termes descripteurs IGN] estimation de pose [Termes descripteurs IGN] image de synthèse [Termes descripteurs IGN] modélisation 3D du bâti BIM [Termes descripteurs IGN] positionnement en intérieur [Termes descripteurs IGN] réseau neuronal convolutif [Termes descripteurs IGN] structure-from-motion Résumé : (Auteur) The ubiquity of cameras built in mobile devices has resulted in a renewed interest in image-based localisation in indoor environments where the global navigation satellite system (GNSS) signals are not available. Existing approaches for indoor localisation using images either require an initial location or need first to perform a 3D reconstruction of the whole environment using structure-from-motion (SfM) methods, which is challenging and time-consuming for large indoor spaces. In this paper, a visual localisation approach is proposed to eliminate the requirement of image-based reconstruction of the indoor environment by using a 3D indoor model. A deep convolutional neural network (DCNN) is fine-tuned using synthetic images obtained from the 3D indoor model to regress the camera pose. Results of the experiments indicate that the proposed approach can be used for indoor localisation in real-time with an accuracy of approximately 2 m. Numéro de notice : A2019-142 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.020 date de publication en ligne : 05/03/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.020 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92480 [article]

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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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 147 (January 2019) . - pp 19 - 41 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 de 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 ordinateur Résumé : (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 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 [article]

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4-dimensional recording and visualization of urban archeological excavations / Gabriele Bitelli in Applied geomatics, vol 10 n° 4 (December 2018)  

Public [article]  inApplied geomatics > vol 10 n° 4 (December 2018) . - pp 415 - 426 Titre : 4-dimensional recording and visualization of urban archeological excavations Type de document : Article/Communication Auteurs : Gabriele Bitelli, Auteur ; Valentina Alena Girelli, Auteur ; Giorgia Sammarini, Auteur Année de publication : 2018 Article en page(s) : pp 415 - 426 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] archéométrie [Termes descripteurs IGN] données 4D [Termes descripteurs IGN] grotte [Termes descripteurs IGN] modèle 3D du site [Termes descripteurs IGN] photogrammétrie numérique [Termes descripteurs IGN] site archéologique [Termes descripteurs IGN] structure-from-motion [Termes descripteurs IGN] visualisation 4D [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The new geomatic techniques and technologies for surveying an archeological excavation are not limited to obtaining more accurate data or more precisely geo-referenced positions on a map, as they can lead to new approaches and, indeed, raise the concept of different dimensions relating to the handled information. The techniques on offer are now fully 3D and, even more interestingly, can also permit to handle temporal information, that is, the evolution of operations over time. This allows scholars and technicians to build and maintain a wealth of vital knowledge documenting what happens during an excavation. This is further true when these are in urban areas, often known as “emergency excavations” from their distinctive logistics and timing constraints. The aim of this paper is to present, in a practical context, some of the many capabilities of 3D surveying performed through digital photogrammetry based on multi-view structure-from-motion approach in the field of urban emergency archeology. The information that can be derived from exploring three-dimensional models allows us to interact with realities that no longer exist, with the possibility not merely of recording their memory, but also of further studies and insights, even after a long period of time. In addition, the excavation itself is documented as it evolves, thus allowing the main phases of the process to be reconstructed retrospectively. The study case examined covers a small necropolis discovered in Rimini (Italy) in 2015. The results and the 3D final products can be managed through Geographic Information System (GIS) tools and, therefore, can easily be interfaced and integrated with other types of information on a different scale. Numéro de notice : A2018-595 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0239-x date de publication en ligne : 14/09/2018 En ligne : https://doi.org/10.1007/s12518-018-0239-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92519 [article]

GPS precise point positioning for UAV photogrammetry / Ben Grayson in Photogrammetric record, vol 33 n° 164 (December 2018)  

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Orientation of archive images on 3D digital models of painted vaults : an interesting tool for restorers / Marco Bevilacqua in Applied geomatics, vol 10 n° 4 (December 2018)  

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Historic reconstruction of reservoir topography using contour line interpolation and structure from motion photogrammetry / Ana Casado in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)  

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Three-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)  

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Generating terrestrial glacier views from historic airphotos for comparison with contemporary ground photographs / Marion Holst (2018) 

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Above-bottom biomass retrieval of aquatic plants with regression models and SfM data acquired by a UAV platform – A case study in Wild Duck Lake Wetland, Beijing, China / Ran Jing in ISPRS Journal of photogrammetry and remote sensing, vol 134 (December 2017)  

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Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion / San Jiang in ISPRS Journal of photogrammetry and remote sensing, vol 132 (October 2017)  

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3d roof model generation and analysis supporting solar system positioning / Filiberto Chiabrando in Geomatica [en ligne], vol 71 n° 3 (September 2017)  

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Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies / Arnadi Murtiyoso in Photogrammetric record, vol 32 n° 159 (September 2017)  

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Self-calibration of omnidirectional multi-cameras including synchronization and rolling shutter / Thanh-Tin Nguyen in Computer Vision and image understanding, vol 162 (September 2017)  

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