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Planimetría de la Iglesia Colegial del Divino Salvador de Sevilla / A. Almagro Gorbea (2008)

Public Titre : Planimetría de la Iglesia Colegial del Divino Salvador de Sevilla Titre original : [Planimétrie de l'Église Collégiale du Salvador Divin de Séville] Type de document : Monographie Auteurs : A. Almagro Gorbea, Auteur Editeur : Séville : Consejo superior de investogaciones cientificas Année de publication : 2008 Importance : 8 p. Format : 60 x 40 cm + 20 planches, 1 fasc. ISBN/ISSN/EAN : 978-84-00-08679-4 Langues : Espagnol (spa) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes descripteurs IGN] église [Termes descripteurs IGN] Espagne [Termes descripteurs IGN] photogrammétrie terrestre [Termes descripteurs IGN] Séville Résumé : (Auteur) En septiembre de 2003 dieron comienzo las obras de restauración de la Iglesia Colegial del Divino Salvador de Sevilla con el objetivo de subsanar algunos problemas estructurales y, sobre todo, devolver al templo todo su esplendor. Desde un primer momento, los responsables de estos trabajos se plantearon la necesidad de realizar una documentación adecuada del monumento, tanto de las zonas visibles como de las que pudieran descubrirse, ya que se preveía realizar excavaciones arqueológicas en el subsuelo. Con este fin, el Arzobispado de Sevilla, a través del delegado para la restauración del templo del Salvador, encomendó a la Escuela de Estudios Árabes del Consejo Superior de Investigaciones Científicas la realización de un levantamiento del edifico mediante el uso de técnicas fotogramétricas. El levantamiento representa en su generalidad el estado del interior de la iglesia al iniciarse las labores de restauración, momento en que se tomaron las fotografías que han permitido su medición y dibujo. Los trabajos de levantamiento han incluido el registro de los hallazgos arqueológicos aparecidos en el subsuelo de la iglesia y que corresponden a la antigua mezquita mayor de Sevilla. Numéro de notice : 10525 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62463

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Visibility prediction based on artificial neural networks used in automatic network design / M. Saadatseresht in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)

Public [article]  inPhotogrammetric record > vol 22 n° 120 (December 2007 - February 2008) . - pp 336 - 355 Titre : Visibility prediction based on artificial neural networks used in automatic network design Type de document : Article/Communication Auteurs : M. Saadatseresht, Auteur ; M. Varshosaz, Auteur Année de publication : 2007 Article en page(s) : pp 336 - 355 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] photogrammétrie terrestre [Termes descripteurs IGN] réseau neuronal artificiel [Termes descripteurs IGN] visibilité Résumé : (Auteur) Automatic design of photogrammetric networks is a complex task for which the visibility and quality constraints need to be both modelled and satisfied simultaneously. The task becomes even more complex when measurements are carried out for the first time on a large and/or complex object surrounded by multiple obstructions in a confined workspace. In this situation, automatic visibility prediction of a target point becomes an extremely difficult task. The visibility information inherent within the initial photogrammetric network can be used to solve this problem. However, this introduces some uncertainty into the prediction result because of the incompleteness of the visibility information. In a previous study, the authors developed an analytical deterministic method, visibility uncertainty prediction (VUP), that used ‘‘visibility spheres’’ to predict the visibility of target points. This paper investigates the use of artificial neural networks (ANNs) in visibility prediction, and presents a new technique, ANN-based visibility uncertainty prediction (AVUP), that works by training a feed-forward multi-layer ANN. The visibility data for this network is extracted from the initial photogrammetric network. Once trained, the network can be used to predict the visibility of any target point from a potential camera station. Various experiments were carried out to evaluate the proposed technique. The results showed that, compared to the previous deterministic method, it is more accurate and has a lower computational cost. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2007-569 Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28932 [article]

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Building facade interpretation from uncalibrated wide-baseline image sequences / H. Mayer in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 61 n° 6 (February 2007) . - pp 371 - 380 Titre : Building facade interpretation from uncalibrated wide-baseline image sequences Type de document : Article/Communication Auteurs : H. Mayer, Auteur ; S. Reznik, Auteur Année de publication : 2007 Article en page(s) : pp 371 - 380 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] apprentissage dirigé [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] chaîne de Markov [Termes descripteurs IGN] façade [Termes descripteurs IGN] interprétation automatique [Termes descripteurs IGN] mesure géométrique [Termes descripteurs IGN] méthode de Monte-Carlo [Termes descripteurs IGN] méthode des moindres carrés [Termes descripteurs IGN] méthode robuste [Termes descripteurs IGN] morphologie mathématique [Termes descripteurs IGN] photogrammétrie terrestre [Termes descripteurs IGN] reconstruction 3D du bâti Résumé : (Auteur) We propose an approach for building facade interpretation ranging from uncalibrated wide-baseline image sequences to the extraction of windows. The approach comprises several novel features, such as determination of the facade planes by robust least squares matching, learning of implicit shape models for objects, particularly windows, and the determination of the latter by means of Markov Chain Monte Carlo (MCMC) employing an abstraction hierarchy generated via mathematical morphology. Results for the fully automatic approach show its potential and shortcomings. Copyright ISPRS Numéro de notice : A2007-064 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28429 [article]

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Engineering surveying / W. Schofield (2007)

Public Titre : Engineering surveying Type de document : Guide/Manuel Auteurs : W. Schofield, Auteur ; M. Breach, Auteur Mention d'édition : 6 Editeur : Amsterdam [Pays Bas] : Elsevier Année de publication : 2007 Importance : 622 p. Format : 19 x 25 cm ISBN/ISSN/EAN : 978-0-7506-6949-8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie [Termes descripteurs IGN] centrale inertielle [Termes descripteurs IGN] lever topographique [Termes descripteurs IGN] mesurage de distances [Termes descripteurs IGN] photogrammétrie terrestre [Termes descripteurs IGN] positionnement par EGNOS [Termes descripteurs IGN] positionnement par Galileo [Termes descripteurs IGN] positionnement par GLONASS [Termes descripteurs IGN] positionnement par GPS [Termes descripteurs IGN] système de coordonnées [Termes descripteurs IGN] télémètre laser terrestre Résumé : (Editeur) Engineering surveying involves determining the position of natural and man-made features on or beneath the Earth's surface and utilizing these features in the planning, design and construction of works. It is a critical part of any engineering project. Without an accurate understanding of the size, shape and nature of the site the project risks expensive and time-consuming errors or even catastrophic failure. Engineering Surveying 6th edition covers all the basic principles and practice of this complex subject and the authors bring expertise and clarity. Previous editions of this classic text have given readers a clear understanding of fundamentals such as vertical control, distance, angles and position right through to the most modern technologies, and this fully updated edition continues that tradition. This sixth edition includes : - An introduction to geodesy to facilitate greater understanding of satellite systems - A fully updated chapter on GPS, GLONASS and GALILEO for satellite positioning in surveying - All new chapter on the important subject of rigorous estimation of control coordinates - Detailed material on mass data methods of photogrammetry and laser scanning and the role of inertial technology in them. With many worked examples and illustrations of tools and techniques, Engineering Surveying is essential reading for students and professionals alike involved in surveying, civil, structural and mining engineering, and related areas such as geography and mapping. Note de contenu : - Basic concepts of surveying - Error and uncertainty - Vertical control - Distance measurement - Angles measurement - Conventional control surveys - Rigorous methods of control - Position - Satellite positioning - Curves - Earthworks - Setting out (dimensional control) - Underground surveying - Mass data methods Numéro de notice : 20273 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46708

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Automatic reconstruction of industrial installations using point clouds and images / Tahir Rabbani Shah (2006)  

Public 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 descripteurs IGN] appariement de formes [Termes descripteurs IGN] bâtiment industriel [Termes descripteurs IGN] conception assistée par ordinateur [Termes descripteurs IGN] détection d'objet [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] distance orthogonale [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] lissage de données [Termes descripteurs IGN] métrologie industrielle [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] photogrammétrie terrestre [Termes descripteurs IGN] reconstruction 3D [Termes descripteurs IGN] reconstruction automatique [Termes descripteurs IGN] segmentation [Termes descripteurs IGN] segmentation d'image [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] transformation de Hough 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 work Numéro de notice : 15184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/publications-on-geodesy/item/251 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55091

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Image-based modeling for object and human reconstruction / Fabio Remondino (2006)  

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IT2 field reports and internships, Summer of 2006 / Susan Asch (2006)

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How historians are now using computer technology: investing spatial effects in architecture and painting / V. Hart in GIM international, vol 19 n° 9 (September 2005)

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From architectural photogrammetry to virtual reality: North German renaissance castles in the computer / T. Kersten in Geoinformatics, vol 8 n° 4 (01/06/2005)

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Building information system: a system based on terrestrial laser scanning / Luigi Colombo in GIM international, vol 19 n° 1 (January 2005)

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Etude d'une méthode de photogrammétrie sous-marine adaptée à un logiciel de photogrammétrie terrestre / Walid Mostafa (2005)

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Mise en place d'un logiciel de création d'orthophoto 3DZOrtho / F. Carbone (2005)

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Relèvement automatique sur primitives diverses / Jean-Michaël Muller (2005)

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Photogrammetric reconstruction of the Great Buddha of Bamiyan, Afghanistan / Armin Grun in Photogrammetric record, vol 19 n° 107 (September - November 2004)

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Salle des Fêtes de Francfort : un pari logistique et technique / K. Jödicke in Géomètre, vol 2003 n° 10 (octobre 2003)

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