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Auteur A. Azizi |
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A multi-resolution hybrid approach for building model reconstruction from lidar data / M. Satari in Photogrammetric record, vol 27 n° 139 (September - November 2012)
[article]
Titre : A multi-resolution hybrid approach for building model reconstruction from lidar data Type de document : Article/Communication Auteurs : M. Satari, Auteur ; F. Samadzadegan, Auteur ; A. Azizi, Auteur ; Hans-Gerd Maas, Auteur Année de publication : 2012 Article en page(s) : pp 330 - 359 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] architecture orientée modèle
[Termes IGN] classification floue
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] photogrammétrie terrestre
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] séparateur à vaste marge
[Termes IGN] toit
[Termes IGN] transformation de HoughRésumé : (Auteur) In this paper, a multi-resolution hybrid approach is proposed for the reconstruction of building models from point clouds of lidar data. The detection of the main roof planes is obtained through a polyhedral approach, whereas the models of appended parts, in this case the dormers, are reconstructed by adopting a model-driven approach. Clustering of the roof points in a multi-resolution space is based on the fuzzy c-mean in the polyhedral section of this hybrid approach. A weighted plane algorithm is developed in order to determine the planes of each cluster. The verification of planes between multi-resolution spaces adopts a method based on a least squares support vector machine that, in the model-driven section, is applied for detecting types of projecting structures. A method is then developed to determine the dormer models’ parameters. Finally, the detection of boundary roof lines is obtained through a customised fuzzy Hough transform. The paper outlines the concept of the algorithms and the processing chain, and illustrates the results obtained by applying the technique to buildings of different complexities. Numéro de notice : A2012-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00688.x Date de publication en ligne : 18/09/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00688.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31911
in Photogrammetric record > vol 27 n° 139 (September - November 2012) . - pp 330 - 359[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Development of a robust photogrammetric metrology system for monitoring the healing of bedsores [... pour la surveillance de la guérison des escarres] / A. Malian in Photogrammetric record, vol 20 n° 111 (September - November 2005)
[article]
Titre : Development of a robust photogrammetric metrology system for monitoring the healing of bedsores [... pour la surveillance de la guérison des escarres] Type de document : Article/Communication Auteurs : A. Malian, Auteur ; A. Azizi, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 241 - 273 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] acquisition d'images
[Termes IGN] contrainte géométrique
[Termes IGN] éclairement lumineux
[Termes IGN] méthode robuste
[Termes IGN] orientation du capteur
[Termes IGN] orientation interne
[Termes IGN] photogrammétrie médicale
[Termes IGN] reconstruction 3D
[Termes IGN] surveillance sanitaireRésumé : (Auteur) A three-camera close range photogrammetric system for robust and precise measurement of bedsores has been designed and constructed. MEDPHOS (MEDical PHOtogrammetric System) consists of three synchronised cameras with convergent optical axes. A light projector is fixed in the centre of the rig that holds the cameras. A special dot pattern is projected onto the surface to be measured, to compensate for the lack of natural texture on the wound surface. The proposed algorithm consists of the following steps : the cameras and projector are calibrated so that all interior and exterior parameters are known ; tailored image segmentation procedures are developed and applied for the detection of the projected pattern dots from the uneven background of the images using morphologic operators ; and watershed transformation is used to tackle the problem of overlapping pattern dots. To reduce the effects of non-uniform illumination and specular reflection of light due to humidity (often the case with wounds), a homomorphic transformation is developed and applied to the images. After segmentation of the images, a connected-component labelling procedure is used to establish the points for matching. The centroids of these components were precisely calculated. Intensity-based image matching has been tested without yielding satisfactory results due to the significant deviation from the Lambertian reflection assumption used for solving the correspondence problem. This problem is reliably solved by developing a new algorithm based on geometric constraints that allow feature-based matching and do not need approximate values of the location of the targets in the images. This robust three focal constraint is found to be very effective for matching provided the necessary conditions for the system configuration are met. Auxiliary photometric constraints together with the calibrated projector (which is treated like an active camera) also serve as additional sources of information for reducing the number of remaining ambiguities and checking the consistency of the results. Almost all of the required biometric information can be obtained rapidly, robustly and easily using MEDPHOS. Experimental results showed the effectiveness of the proposed technique. Numéro de notice : A2005-379 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2005.00319.x En ligne : https://doi.org/10.1111/j.1477-9730.2005.00319.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27515
in Photogrammetric record > vol 20 n° 111 (September - November 2005) . - pp 241 - 273[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-05031 RAB Revue Centre de documentation En réserve L003 Disponible Automatic 3D object recognition and reconstruction based on neuro-fuzzy modelling / F. Samadzadegan in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 5 (August - October 2005)
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Titre : Automatic 3D object recognition and reconstruction based on neuro-fuzzy modelling Type de document : Article/Communication Auteurs : F. Samadzadegan, Auteur ; A. Azizi, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 255 - 277 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] Allemagne
[Termes IGN] image aérienne
[Termes IGN] image en couleur
[Termes IGN] milieu urbain
[Termes IGN] raisonnement flou
[Termes IGN] reconnaissance automatique
[Termes IGN] reconnaissance d'objets
[Termes IGN] reconstruction 3D
[Termes IGN] réseau neuronal artificiel
[Termes IGN] visualisation 3DRésumé : (Auteur) Three-dimensional object recognition and reconstruction (ORR) is a research area of major interest in computer vision and photogrammetry. Virtual cities, for example, is one of the exciting application fields of ORR which became very popular during the last decade. Natural and man-made objects of cities such as trees and buildings are complex structures and automatic recognition and reconstruction of these objects from digital aerial images but also other data sources is a big challenge. In this paper, a novel approach for object recognition is presented based on neuro-fuzzy modelling. Structural, textural and spectral information is extracted and integrated in a fuzzy reasoning process. The learning capability of neural networks is introduced to the fuzzy recognition process by taking adaptable parameter sets into account which leads to the neuro-fuzzy approach. Object reconstruction follows recognition seamlessly by using the recognition output and the descriptors which have been extracted for recognition. A first successful application of this new ORR approach is demonstrated for the three object classes 'buildings', 'cars' and 'trees' by using aerial colour images of an urban area of the town of Engen in Germany. Copyright ISPRS Numéro de notice : A2005-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.02.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.02.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27487
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 5 (August - October 2005) . - pp 255 - 277[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05031 SL Revue Centre de documentation Revues en salle Disponible Automatic determination of the optimum generic sensor model based on genetic algorithm concepts / F. Samadzadegan in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)
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Titre : Automatic determination of the optimum generic sensor model based on genetic algorithm concepts Type de document : Article/Communication Auteurs : F. Samadzadegan, Auteur ; A. Azizi, Auteur ; A. Abootalebi, Auteur Année de publication : 2005 Article en page(s) : pp 277 - 288 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] algorithme génétique
[Termes IGN] capteur optique
[Termes IGN] espace image
[Termes IGN] espace objet
[Termes IGN] image optique
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle mathématiqueRésumé : (Auteur) Generic sensor models (GSMs) are comprehensive mathematical models by which different geometric structures of satellite images could be modeled in order to establish the connection between image and object spaces. Nevertheless, as they are mathematical models, rather than physical models, it is difficult to determine which term and order of GSMs can provide the best result. Therefore, conventional solutions need an expert operator to try different terms and orders for the best solution of GSMs or to find the best trade-off, which is a complex and time consuming process. Moreover, conventional solutions for automatic determination of the optimum GSM parameters are not practically efficient and instead of going towards the global optimum, frequently get trapped in some local optima. In this paper, we propose a novel methodology which automatically determines the optimum GSM's terms and orders based on genetic algorithm concepts. Extensive evaluations carried out on a wide range of different optical satellite images demonstrate the high potentials of the proposed strategy. Numéro de notice : A2005-104 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.3.277 En ligne : https://doi.org/10.14358/PERS.71.3.277 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27242
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 3 (March 2005) . - pp 277 - 288[article]Visibility analysis in vision metrology network design / M. Saadatseresht in Photogrammetric record, vol 19 n° 107 (September - November 2004)
[article]
Titre : Visibility analysis in vision metrology network design Type de document : Article/Communication Auteurs : M. Saadatseresht, Auteur ; Clive Simpson Fraser, Auteur ; F. Samadzadegan, Auteur ; A. Azizi, Auteur Année de publication : 2004 Article en page(s) : pp 219 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] photogrammétrie métrologique
[Termes IGN] prise de vue terrestre
[Termes IGN] visibilitéRésumé : (Auteur) On présente dans cet article une méthode permettant d'accroître la précision atteinte dans un réseau photogrammétrique donné, par le choix automatique de stations supplémentaires de prises de vues. Pour déterminer les positions de ces stations de mise en place des caméras, on se base sur ce qu'on a appelé un modèle de prévision des risques de non-visibilité, déduit des contraintes de visibilité ressortant de la géométrie du réseau donné. Dans la phase de conception d'un réseau, l'analyse des contraintes de visibilité débouche sur des notions de prévision des risques de non-visibilité et des sphères d'incertitude correspondantes. Il en résulte un mécanisme de prévision de la visibilité des points visés dans l'espace-objet pour les nouvelles images destinées à accroître la précision photogrammétrique. Ce qui constitue en retour une aide pour améliorer la conception de ce réseau. On présente enfin une expérimentation de cette méthode pour deux configurations de réseaux de photogrammétrie à courte distance, ainsi que les résultats obtenus montrant que le modèle proposé est fiable et prévoit la visibilité des cibles avec une exactitude globale de 75%. Numéro de notice : A2004-338 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.0031-868X.2004.00280.x En ligne : https://doi.org/10.1111/j.0031-868X.2004.00280.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26865
in Photogrammetric record > vol 19 n° 107 (September - November 2004) . - pp 219 - 236[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-04031 RAB Revue Centre de documentation En réserve L003 Disponible Kaiser filter for antialiasing in digital photogrammetry / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 105 (March - May 2004)PermalinkAutomatic surface reconstruction based on the fusion of fuzzy logic and robust estimation techniques / F. Samadzadegan in Photogrammetric record, vol 17 n° 100 (October 2002 - March 2003)PermalinkFuzzy logic system for road identification using Ikonos images / J. Amini in Photogrammetric record, vol 17 n° 99 (April - September 2002)Permalink