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Automatic building reconstruction from a digital elevation model and cadastral data : an operational approach / Mélanie Durupt (2006)
Titre : Automatic building reconstruction from a digital elevation model and cadastral data : an operational approach Type de document : Article/Communication Auteurs : Mélanie Durupt, Auteur ; Franck Taillandier , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 142 - 147 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données cadastrales
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation 3D
[Termes IGN] primitive géométrique
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] toit
[Termes IGN] zone urbaine denseRésumé : (auteur) In this paper, we tackle the problem of automatic building reconstruction using digital elevation model and cadastral data. We aim at massive production of 3D urban models and present thus an algorithm, that is an adaptation of a more general and semi-automatic strategy to an operational context where robustness is essential. We present two approaches relying on two different techniques for non-vertical planes extraction using constraints inferred by cadastral limits. The first one consists in inferring planar primitives by estimating only two parameters for each building: the height of gutter and the slope of roofs. The other idea is to extract planar primitives directly from the cadastral limits and from the DEM, using a robust RANSAC estimation algorithm. The results of an evaluation carried out on 620 buildings on a dense urban centre are promising and enables to compare both approaches. Numéro de notice : C2006-013 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/part3/singlepapers/O_14.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86193 Documents numériques
en open access
Automatic building reconstruction - pdf éditeurAdobe Acrobat PDF Automatic reconstruction of industrial installations using point clouds and images / Tahir Rabbani Shah (2006)
Titre : Automatic reconstruction of industrial installations using point clouds and images Type de document : Thèse/HDR Auteurs : Tahir Rabbani Shah, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2006 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 62 Importance : 160 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-90-6132-297-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] appariement de formes
[Termes IGN] bâtiment industriel
[Termes IGN] conception assistée par ordinateur
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] données localisées 3D
[Termes IGN] lissage de données
[Termes IGN] métrologie industrielle
[Termes IGN] modélisation 3D
[Termes IGN] photogrammétrie terrestre
[Termes IGN] reconstruction 3D
[Termes IGN] segmentation
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] transformation de HoughIndex. décimale : 33.70 Photogrammétrie terrestre Résumé : (Auteur) Up to date and accurate 3D models of industrial sites are required for different applications like planning, documentation and training. Traditional methods for acquiring as-built information like manual measurements by tape and tacheometry are not only slow and cumbersome but most of the time they also fail to provide the amount of detail required. Many industrial facilities provide a limited personnel access because of the presence of radioactive, toxic or hazardous materials together with an unsafe working environment, which necessitates the use of non-contact measurement methods.
Traditional photogrammetry depends on point or line measurements from which it is very hard to get complete CAD models without extensive manual editing and refinement. Compared to photogrammetry laser scanning provides explicit and dense 3D measurements. There has been a rapid increase in the speed and accuracy of the laser scanners in the last decade, while their costs and sizes have been continuously shrinking. All modeling tools available on the market depend on heavy operator intervention for most of the modeling tasks. Although there are some semi-automatic tools like plane or cylinder growing even there the operator has to start the growing process for each primitive. Furthermore, the fitted surfaces must be manually edited by the operator to convert them to a CAD description.
This thesis presents new methods and techniques which can be used for automatic or efficient semiautomatic 3D modeling of existing industrial installations from point clouds and images. The goal is to use explicit 3D information from the point clouds to automatically detect the objects and structure present in the scene. The detected objects are then used as targets for model based registration, which can be automated by searching for object correspondences. To avoid manual editing the presented techniques use models from a catalogue of commonly found CAD objects as templates for model fitting. In the final fitting phase images are also included to improve the quality of parameter estimation.
Segmentation is a very important step that needs to be carried out as a pre cursor to object recognition and model fitting. We present a method for the segmentation of the point clouds, which avoids over-segmentation while partitioning the input data into mutually disjoint, smoothly connected regions. It uses a criterion based on a combination of surface normal similarity and spatial connectivity, which we call smoothness constraint. As we do not use surface curvature our algorithm is less sensitive to noise. Moreover, there are only a few parameters which can be adjusted to get a desired trade-off between under- and over-segmentation.
Segmentation is followed by a stage of object recognition based on a variation of the Hough transform for automatic plane and cylinder detection in the point clouds. For plane detection the Hough transform is three dimensional. For the cylinder detection the direct application of the Hough transform requires a 5D Hough space, which is quite impractical because of its space and computational complexity. To resolve this problem we present a two-step approach requiring a 2D and 3D Hough space. In the first step we detect strong hypotheses for the cylinder orientation. The second step estimates the remaining three parameters of the cylinder i.e. radius and position.
The problem of fitting models like planes, cylinders, spheres, cones, tori and CSG models to point clouds is very important for data reduction. For the fitting of CSG models, this thesis presents three different methods for approximating the orthogonal distance, which are compared based on speed and accuracy.
We also present methods for using modeled objects in individual scans as targets for registration. As the available geometrie structure is used, there is no need to place artificial targets. We present two different methods for this purpose called Indirect and Direct method. The Indirect method is a quick way to get approximate values while the Direct method is then used to refine the approximate solution. We also present techniques for automatically finding the corresponding objects for registration of scans. The presented techniques are based on constraint propagation which use the geometric information available from the previously made correspondence decision to filter out the possibilites for future correspondences.
Although point clouds are very important for the automation because of their explicit 3D information, images provide a complementary source of information as they contain well-defined edges of the bounded objects. We present methods for the fitting of CSG models to a combination of point clouds and images. We also present techniques for the specification of geometric constraints between sub-parts of a CSG tree and their inclusion in the model estimation process. A taxonomy of commonly encountered geometric constraints and their mathematical formulation is also given.
We hope that the techniques presented in this thesis will lead to an improvement in efficiency and quality of the models obtained for industrial installations from point clouds and images.Note de contenu : 1 Introduction
1.1 Literature survey
1.2 Objectives and modeling pipeline
1.3 Outline of the thesis
2 Segmentation using smoothness constraint
2.1 Introduction
2.2 Segmentation algorithm
2.3 Results
2.4 Conclusions
3 Object recognition
3.1 Introduction
3.2 Plane detection
3.3 Cylinder detection
3.4 Ambiguity resolution by hypothesis testing
3.5 Results
3.6 Conclusions
4 Model fitting to point clouds
4.1 Introduction
4.2 Problem definition
4.3 Fitting of simple géométrie objects
4.4 CSG Fitting
4.5 Results
4.6 Conclusions
5 Model-based registration
5.1 Introduction
5.2 Notation.
5.3 Indirect Method.
5.4 Direct Method
5.5 Results and discussion
5.6 Conclusions.
6 Automatic correspondence search
6.1 Introduction
6.2 Algorithm outline
6.3 Constrained Search for Correspondences
6.4 Comparison
6.5 Results
6.6 Conclusions
7 Constrained CSG fitting
7.1 Introduction
7.2 Model Fitting
7.3 Types of constraints
7.4 Examples of constraints
7.5 Fitting Experiments
7.6 Results .
7.7 Conclusions
8 Conclusions
8.1 Achievements
8.2 Directions for future workNuméro de notice : 15184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : sans En ligne : https://www.ncgeo.nl/downloads/62Rabbani.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55091 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15184-01 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 15184-02 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible
Titre : Image-based modeling for object and human reconstruction Type de document : Thèse/HDR Auteurs : Fabio Remondino, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2006 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 091 Importance : 159 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-61-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] acquisition d'images
[Termes IGN] compensation par faisceaux
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] extraction automatique
[Termes IGN] géométrie projective
[Termes IGN] modélisation 3D
[Termes IGN] objet mobile
[Termes IGN] orientation du capteur
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] orientation relative
[Termes IGN] photogrammétrie terrestre
[Termes IGN] points homologues
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'objet
[Termes IGN] semis de points
[Termes IGN] traitement d'image
[Termes IGN] vision par ordinateurIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) The topic of this research is the investigation of the image-based approach for the 3D modeling of close-range scenes, static objects and moving human characters. Three-dimensional (3D) modeling from images is a great topic of investigation in the research community, even if range sensors are becoming more and more a common source and a good alternative for the generation of 3D information. The interest in 3D modeling is motivated by a wide spectrum of applications, such as video games, animation, navigation of autonomous vehicles, object recognition, surveillance and visualization. In particular, the production of 3D models from existing images or old movies would allow the generation of new scenes involving objects or human characters who may be unavailable for other modeling techniques.
Techniques for 3D modeling have been rapidly advancing over the past few years although most of them focus on single objects or specific applications such as architecture or city mapping. Nowadays the accurate and fully automated reconstruction of 3D models from image data is still a challenging problem. Most of the current approaches developed to recover accurate 3D models are based on semi-automatic procedures, therefore the introduction of new reliable and automated algorithms is one of the key goals in the photogrammetric and vision communities. In fact fully automated image-based approaches generally do not work under certain image network configuration or are not reliable enough for some applications, like cultural heritage documentation. Automated image-based methods require good features in multiple images and very short baselines between consecutive frames to extract dense depth maps and complete 3D models. But these requirements are not satisfied in some practical situations, due to occlusions, illumination changes and lack of texture. Automated processes often end up with areas containing too many features that are not all needed for the object modeling and areas with very few features to pro-duce a complete and detailed model. Automated reconstruction methods generally do not report good accuracy, limiting their use for applications that require only nice-looking 3D models. Furthermore, post processing operations are often required, which means that the user interaction is still needed. Therefore fully automated procedures are generally limited in finding point correspondences and camera poses while for the surface measurement phase the user interaction is generally preferred, in particular for architectures.
The image-based modeling of an object should be meant as the complete process that starts from the acquisition system and ends with a virtual model in three dimensions visible interactively on a computer. The photogrammetric modeling pipeline consists of few well known steps: calibration and orientation, surface measurement and point cloud generation, structuring and modeling of the object geometry, visualization and analysis. Different efforts have been done to increase the level of automation within these steps and broaden the use of the image-based modeling technology. So far, however, the efforts to completely automate the processing, from the image acquisition to the output of a 3D model, are not always successful or not applicable in many 3D modeling projects.
In this dissertation different techniques developed to analyze existing sequence of images and partially automate the process of constructing digital 3D models of static objects or moving human characters are reported. In particular the work investigates if automated and markerless sensor orientation is feasible and under which conditions, if it is possible to recover complete and detailed 3D models of complex objects using automated measurement procedures, which kind of (3D) information can be retrieved from existing image data as well as the capabilities or limits of photogrammetric algorithms in dealing with uncalibrated images and zooming effects. For the investigations, sets of available or self-acquired images, as well as frames digitized from existing monocular videos are used.
The possibility to automatically orient an image sequence heavily depends on the type of images, acquisition and scene. Compared to other research approaches, the developed method for the automated tie point extraction and image orientation relies on accurate feature location achieved using least squares matching measurement algorithm and a statistical analysis of the matched and adjustment results. The reported examples demonstrate its capabilities also for the orientation of images acquired under a wide baseline. A photogrammetric bundle adjustment is always employed to recover the camera parameters and the 3D object coordinates. On the other hand, the analysis of moving human characters using a monocular video is based on a deterministic approach together with constraints and assumptions on the imaged scene as well as on the human's shape and movement. The developed photogrammetric pipeline can accommodate different input data and different types of human motions. The resulted 3D characters and scene information can be used for visualization or animation purposes or in biometric applications with medium accuracy requirements.
For the automated tie point extraction phase, programs for the feature extraction and the relative orientation between image pairs and triplets were implemented, together with a graphical tool to display the recovered correspondences and epipolar geometry. Concerning the human reconstruction from monocular videos, programs were developed to recover 3D models from single images and combine them under the same reference system in case of image sequence analysis.Note de contenu : 1. INTRODUCTION
1.1. 3D Modeling
1.2. Motivations, objectives and contributions
1.3. Overview and organization
2. PROJECTIVE GEOMETRY
2.1. Geometry layers
2.2. Homogeneous coordinates: points, lines, planes and conies
2.3. Projective transformation
2.4. Projective invariants
2.5. Projective camera model
2.6. The reconstruction problem
3. 3D MODELING FROM IMAGES
3.1. 3D modeling overview
3.2. Terrestrial image-based 3D modeling
3.3. 3D modeling from a single image
3.4. Examples
3.5. Final considerations
4. CALIBRATION AND ORIENTATION OF IMAGE SEQUENCES
4.1. Orientation approaches
4.2. Automated tie point extraction
4.3. Bundle adjustment
4.4. Approximative values for the adjustment's unknowns
4.5. Linear features bundle adjustment
4.6. Calibration and orientation of stationary but freely rotating cameras
4.7. Calibration of stationary and fixed camera
5. HUMAN BODY MODELING AND MOVEMENT RECONSTRUCTION
5.1. 3D Modeling of human characters
5.2. Image-based reconstruction of static human body shape
5.3. Forensic metrology
5.4. Markerless motion capture from monocular videos
6. EXPERIMENTS
6.1. Automated markerless tie point extraction
6.2. 3D modeling of an architectural object
6.3. Human body shape modeling from images
6.4. Photogrammetric analysis of monocular videos
6.5. Cultural Heritage object modeling
7. CONCLUSIONS
7.1. Summary of the achievements
7.2. Automated markerless image orientation
7.3. 3D models from images
7.4. Human character reconstruction
7.5. Future work
Appendix A. Detectors and descriptors
A.1. Operators for photogrammetric applications
A.2. Point and region detectors
A.3. Descriptors
A.4. Experimental setup and results
A.5. Location accuracy improvement for detectors and descriptors
A.6. Conclusions
Appendix B. Alternative form of the coplanarity condition
B.1. Relative orientation between two images
B.2. Estimating the Fundamental matrix
B.2.1. Least squares and iterative techniques
B.2.2. Robust estimatorsNuméro de notice : 15201 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-005211924 En ligne : http://dx.doi.org/10.3929/ethz-a-005211924 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55093 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15201-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible A supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery / Laurence Boudet (2006)
Titre : A supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery Type de document : Article/Communication Auteurs : Laurence Boudet , Auteur ; Nicolas Paparoditis , Auteur ; Franck Jung , Auteur ; Gilles Martinoty , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 136 - 141 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] bati
[Termes IGN] classification dirigée
[Termes IGN] image aérienne
[Termes IGN] méthode robuste
[Termes IGN] modélisation 3D
[Termes IGN] toit
[Termes IGN] zone urbaine denseRésumé : (auteur) In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new approach to perform a quality self-diagnosis of building models in dense urban areas from high resolution aerial images. Hence, we aim at reliably identifying roof facets that do not comply with quality specifications. The self-diagnosis process will highlight potential incorrect facets for their inspection by a human operator. A set of calibrated aerial images enable us to collect positive or negative evidences of roof facet existence and consistency. A particular attention has been paid to the definition of a set of low-level, complementary, robust and consistent image processing measures. Four quality classes have been defined and are used to classify roof facet quality. A supervised classifier and robust decision rules are then applied to perform an effective self-diagnosis according to the traffic light paradigm. Finally, the work in progress leads to a promising quantitative and qualitative evaluation in the context of dense urban areas. Numéro de notice : C2006-012 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/part3/singlepapers/O_13.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86192 Documents numériques
en open access
A supervised classification approach - pdf éditeurAdobe Acrobat PDF
Titre : Tree detection in aerial LIDAR and image data Type de document : Article/Communication Auteurs : John Secord, Auteur ; Avideh Zahkor, Auteur Editeur : New York [Etats-Unis] : IEEE Signal Processing Society Année de publication : 2006 Conférence : ICIP 2006, 13th IEEE International Conference on Image Processing 08/10/2006 11/10/2006 Atlanta Géorgie - Etats-Unis Proceedings IEEE Importance : 35 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage dirigé
[Termes IGN] classification dirigée
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection d'arbres
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image aérienne
[Termes IGN] modélisation 3D
[Termes IGN] segmentationRésumé : (auteur) In this paper, we present an approach to detecting trees in registered aerial image and range data obtained via LiDAR. The motivation for this problem comes from automated city modeling, in which such data is used to generate textured 3-D models. Representing the trees in these models is problematic because the data is usually too sparsely sampled in tree regions to create an accurate 3-D model of the trees. Furthermore, including the tree data points interferes with the polygonization step of the building roof top models. Therefore, it is advantageous to detect and remove points that represent trees in both LiDAR and aerial imagery. In this paper, we propose a two-step method for tree detection consisting of segmentation followed by classification. The segmentation is done using a simple region-growing algorithm using weighted features from aerial image and LiDAR, such as height, texture map, height variation, and normal vector estimates. The weights for the features are determined using a learning method on random walks. The classification is done using weighted support vector machines (SVM), allowing us to control the misclassification rate. The overall problem is formulated as a binary detection problem, and receiver operating characteristic curves are shown to validate our approach. Numéro de notice : C2006-024 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : 10.1109/ICIP.2006.312850 En ligne : https://doi.org/10.1109/ICIP.2006.312850 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90963 Utilisation conjointe de données image et laser pour la segmentation et la modélisation 3D / Matthieu Deveau (2006)PermalinkLa 3D au service des collectivités / P. Bour in XYZ, n° 105 (décembre 2005 - février 2006)PermalinkLa carte géologique : les nouveaux besoins / D. Vaslet in Géochronique, n° 96 (décembre - février 2005)PermalinkLa carte géologique : points de vue d'acteurs et d'utilisateurs / J.M. Lardeaux in Géochronique, n° 96 (décembre - février 2005)Permalinkn° 180 - Décembre 2005 - Des images aux 3D : extractions automatiques et assistées de modèles 3D, [Actes] Journées d'étude organisée par la SEE, le GDR ISIS et la SFPT, Paris, 16-17 juin 2005 (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétectionPermalinkModélisation 3D par vision pour la robotique mobile : approches de cartographie et localisation simultanées / Sylvie Lacroix in Revue Française de Photogrammétrie et de Télédétection, n° 180 (Décembre 2005)Permalinkn° 10 - 01/12/2005 - Le paysage forestier vu du ciel (Bulletin de L'if) / Inventaire forestier national (1958 - 2011)PermalinkCity map to virtual reality: 3D reconstruction models of cities / P. Alkhoven in GIM international, vol 19 n° 10 (October 2005)Permalink3D building modelling with digital map, Lidar data and video image sequences / Y. Zhang in Photogrammetric record, vol 20 n° 111 (September - November 2005)PermalinkApport de la télédétection à la modélisation géologique volumique (région d'Al Quway'iyah en Arabie saoudite) / O.B. Alami in Revue Française de Photogrammétrie et de Télédétection, n° 178 (Septembre 2005)Permalink