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scientifique

Modeling and rendering architecture from photographs / Paul Ernest Debevec (1996)  

Public Titre : Modeling and rendering architecture from photographs Type de document : Thèse/HDR Auteurs : Paul Ernest Debevec, Auteur ; Jitendra Malik, Directeur de thèse Editeur : Berkeley [Californie - Etats-Unis] : University of California Année de publication : 1996 Importance : 140 p. Format : 21 x 30 cm Note générale : bibliographie Dissertation submitted for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California at Berkeley Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] architecture urbaine [Termes IGN] bâtiment [Termes IGN] distorsion d'image [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] infographie [Termes IGN] modèle 3D du site [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modélisation 3D [Termes IGN] objectif grand angulaire [Termes IGN] patrimoine immobilier [Termes IGN] photogrammétrie architecturale [Termes IGN] rendu réaliste [Termes IGN] restitution [Termes IGN] scène 3D [Termes IGN] texturage [Termes IGN] vision par ordinateur Résumé : (auteur) Imagine visiting your favorite place, taking a few pictures, and then turning those pictures into a photorealisic three-dimensional computer model. The work presented in this thesis combines techniques from computer vision and computer graphics to make this possible. The applications range from architectural planning and archaeological reconstructions to virtual environments and cinematic special effects. This thesis presents an approach for modeling and rendering existing architectural scenes from sparse sets of still photographs. The modeling approach, which combines both geometry-based and image-based techniques, has two components. The first component is an interactive photogrammetric modeling method which facilitates the recovery of the basic geometry of the photographed scene. The photogrammetric modeling approach is effective, convenient, and robust because it exploits the constraints that are characteristic of architectural scenes. The second component is a modelbased stereo algorithm, which recovers how the real scene deviates from the basic model. By making use of the model, this new technique robustly recovers accurate depth from widely-spaced image pairs. Consequently, this approach can model large architectural environments with far fewer photographs than current image-based modeling approaches. For producing renderings, this thesis presents view-dependent texture mapping, a method of compositing multiple views of a scene that better simulates geometric detail on basic models. This approach can be used to recover models for use in either geometry-based or imagebased rendering systems. This work presents results that demonstrate the approach’s ability to create realistic renderings of architectural scenes from viewpoints far from the original photographs. This thesis concludes with a presentation of how these modeling and rendering techniques were used to create the interactive art installation Rouen Revisited, presented at the SIGGRAPH ’96 art show. Note de contenu : Introduction 1- Background and Related Work 2- Overview 3- Camera Calibration 4- Photogrammetric Modeling 5- View-Dependent Texture Mapping 6- Model-Based Stereo 7- Rouen Revisited Numéro de notice : 21758 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD Thesis : Computer Science : University of California at Berkeley : 1996 En ligne : http://www.pauldebevec.com/Thesis/debevec-phdthesis-1996.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91130

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
21758-01	THESE	Livre	Centre de documentation	Thèses	Disponible