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Статті в журналах з теми "Modélisation de formes 3D"
Boutemy, Camille, Arthur Lebée, Mélina Skouras, Marc Mimram, and Olivier Baverel. "Modélisation et conception d’un coffrage réutilisable pour la fabrication de coques minces en béton de formes complexes." SHS Web of Conferences 147 (2022): 09003. http://dx.doi.org/10.1051/shsconf/202214709003.
Повний текст джерелаBarbouche, Rached. "Modélisation, représentation et cartographie des formes du décor architectural." SHS Web of Conferences 47 (2018): 01001. http://dx.doi.org/10.1051/shsconf/20184701001.
Повний текст джерелаCouleau, Christèle. "Modélisation 3D : Balzac, Houellebecq, Despentes." L'Année balzacienne 21, no. 1 (2020): 271. http://dx.doi.org/10.3917/balz.021.0271.
Повний текст джерелаBernard, Jean-Thomas, François Lessard, and Simon Thivierge. "La demande d’énergie du secteur commercial québécois." Articles 62, no. 1 (January 27, 2009): 5–22. http://dx.doi.org/10.7202/601357ar.
Повний текст джерелаLoubier, Jean-Christophe, Christine Voiron-Canicio, Dominique Genoud, Daniel Hunacek, and Florian Sant. "Modélisation géoprospective et simulation 3D immersive." Revue Internationale de Géomatique 27, no. 4 (October 2017): 547–66. http://dx.doi.org/10.3166/rig.2017.00042.
Повний текст джерелаBilasco, Ion Marius, and Hervé Martin. "Sémantique et modélisation de scènes 3D." Ingénierie des systèmes d'information 12, no. 2 (June 30, 2007): 121–35. http://dx.doi.org/10.3166/isi.12.2.121-135.
Повний текст джерелаThomas, Frédéric, Jérôme Delatour, François Terrier, Matthias Brun, and Sébastien Gérard. "Contribution à la modélisation explicite des plates-formes d'exécution pour l'IDM." L'objet 13, no. 4 (December 31, 2007): 9–31. http://dx.doi.org/10.3166/obj.13.4.9-31.
Повний текст джерелаCouturier, Yves, Chantal Lefebvre, Angèle Bilodeau, and Robert Bastien. "Éléments pour la modélisation d’une pratique professionnelle d’intervention socio-éducative basée sur la collaboration École-Famille-Communauté." Service social 59, no. 2 (October 31, 2013): 16–30. http://dx.doi.org/10.7202/1019107ar.
Повний текст джерелаDi Cristo, Albert. "Vers une modélisation de l'accentuation du français (seconde partie)." Journal of French Language Studies 10, no. 1 (March 2000): 27–44. http://dx.doi.org/10.1017/s0959269500000120.
Повний текст джерелаDi Cristo, Albert. "Vers une modélisation de l'accentuation du français: première partie." Journal of French Language Studies 9, no. 2 (September 1999): 143–79. http://dx.doi.org/10.1017/s0959269500004671.
Повний текст джерелаДисертації з теми "Modélisation de formes 3D"
Klokov, Roman. "Deep learning pour la modélisation de formes 3D." Electronic Thesis or Diss., Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALM060.
Повний текст джерелаApplication of deep learning to geometric 3D data poses various challenges for researchers. The complex nature of geometric 3D data allows to represent it in different forms: occupancy grids, point clouds, meshes, implicit functions, etc. Each of those representations has already spawned streams of deep neural network models, capable of processing and predicting according data samples for further use in various data recognition, generation, and modification tasks.Modern deep learning models force researchers to make various design choices, associated with their architectures, learning algorithms and other specific aspects of the chosen applications. Often, these choices are made with the help of various heuristics and best practice methods discovered through numerous costly experimental evaluations. Probabilistic modeling provides an alternative to these methods that allows to formalize machine learning tasks in a meaningful manner and develop probability-based training objectives. This thesis explores combinations of deep learning based methods and probabilistic modeling in application to geometric 3D data.The first contribution explores how probabilistic modeling could be applied in the context of single-view 3D shape inference task. We propose a family of probabilistic models, Probabilistic Reconstruction Networks (PRNs),which treats the task as image conditioned generation and introduces a global latent variable, encoding shape geometry information. We explore different image conditioning options, and two different training objectives based on Monte Carlo and variational approximations of the model likelihood. Parameters of every distribution are predicted by multi-layered convolutional and fully-connected neural networks from the input images. All the options in the family of models are evaluated in the single-view 3D occupancy grid inference task on synthetic shapes and according image renderings from randomized viewpoints. We show that conditioning the latent variable prior on the input images is sufficient to achieve competitive and state-of-the-art single-view 3D shape inference performance for point cloud based and voxel based metrics, respectively. We additionally demonstrate that probabilistic objective based on variational approximation of the likelihood allows the model to obtain better results compared to Monte Carlo based approximation.The second contribution proposes a probabilistic model for 3D point cloud generation. It treats point clouds as distributions over exchangeable variables and use de Finetti’s representation theorem to define a global latent variable model with conditionally independent distributions for coordinates of each point. To model these point distributions a novel type of conditional normalizing flows is proposed, based on discrete coupling of point coordinate dimensions. These flows update the coordinates of each point sample multiple times by dividing them in two groups and inferring the updates for one group of coordinates from another group and, additionally, global latent variable sample by the means of multi-layered fully-connected neural networks with parameters shared for all the points. We also extend our Discrete Point Flow Networks (DPFNs) from generation to single-view inference task by conditioning the global latent variable prior in a manner similar to PRNs from the first contribution. Resulting generative performance demonstrates that DPFNs produce sets of samples of similar quality and diversity compared to state of the art based on continuous normalizing flows, but are approximately 30 times faster both in training and sampling. Results in autoencoding and single-view inference tasks show competitive and state-of-the-art performance for Chamfer distance, F-score and earth mover’s distance similarity metrics for point clouds
Anca, Alexe Iléana. "La modélisation interactive de formes 3D à partir d'esquisses." Toulouse 3, 2005. http://www.theses.fr/2005TOU30192.
Повний текст джерелаA prototyping process always starts with the production of several pencil sketches, which give a better description of the designer's idea before the 3D digital mockup is produced. It would be very challenging to integrate these tools into today's modeling software, in order to combine the sketch simplicity with the powerful 3D capabilities. We explore here the possibilities offered by gestural interface. The user is only provided with a digital pen and a digital tablet for his modeling task. Our approach is based on a double skeleton/3D implicit shape representation. For the implicit representation we propose new functions, and also a new boolean volume composition model. This representation allows modeling of a large topological variety of shapes with an adaptive level of detail and a rich collection of sketch based operations with precise control of the result. The surface is smooth, compact, and has a high class continuity level. The modeling operations are done in interactive time
Guillot, Olivier. "Maillage multirésolution de surfaces : modélisation et maillage de formes humaines 3D." La Rochelle, 2008. http://www.theses.fr/2008LAROS232.
Повний текст джерелаIn this thesis, we developped a surface subdivision that handles different kind of natural discontinuities of surfaces (darts, corners, creases and bounds) and the irregularities of the mesh that represents it. The aim of such a subdivision is to create limit surfaces that keep the natural discontinuities in order to enhance the quality of the multiresolution analysis based on that subdivision. We use the square root 3-subdivision because the resulting meshes grow slower. The multiresolution analysis by wavelets of a mesh of surface split the low frequencies and the higher ones, in order to obtain an approximation of the mesh and "details". Details can be truncated without creating great losses in the result of the synthesis. This property permits data compression of the details. Because the wavelet function is based on our square root 3-subdivision it handles natural discontinuities of the surfaces. This gives even smaller details for meshes with sharp edges. In order to analyse a mesh n times, this mesh must have a topology compatible with n subdivisions. If the surface contains discontinuities, n should be even. We built software tools in order to create a remeshing method that generates meshes compatible with those topologies. All this features are available in MEFP3C
Ben, Amor Boulbaba. "Contributions à la modélisation et à la reconnaissance faciales 3D." Ecully, Ecole centrale de Lyon, 2006. http://bibli.ec-lyon.fr/exl-doc/bbenamor.pdf.
Повний текст джерелаNowadays, face recognition represent one of the privileged fields of search due to the emergence of the security in many domains. This thesis lies within this scope, and more particularly, in the three-dimensional face recognition. In this work, we are interested to the complementary fields : 3D face modelling and recognition. Whereas modelling task aims at 3D face shape acquisition, recognition task aims at the identification of a probe face model among faces stored in a data base (gallery) or verify his identity. For that, two approaches are studied and implemented : (i) an hybrid approach for facial acquisition based on active vision and geometrical modelling, and (ii) an approach for aligning facial surfaces before computing similarities between 3D models. A new 3D face database is collected within the IV 2 French project in order to make signifiant experiments and evaluations of the developed algorithms
Entem, Even. "Interprétation et modélisation 3D automatique à partir de dessins au trait de formes organiques." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM054/document.
Повний текст джерелаDrawing is the most common way to communicate about shapes.Thus, using sketching as a tool in the process of modeling 3D content is an attractive approach.However in the world of machines, drawings are still difficult to interpret as shape depictions.This has been the challenge tackled by many different research works since leveraging the little we know about perception is non trivial.My thesis focuses on pushing the limits of what can be inferred from single drawings of smooth shapes without any help from the user.In a first attempt we chose to select a category of shape namely animals and other creatures for which prior knowledge helps to solve the problem.Then we proposed to generalize parts of the solution to tackle the case of free form organic shapes.This manuscript thus presents the respective solutions we developed. The first one is able to infer plausible 3D models of animals from a single side-view sketch using anatomic principles to both interpret the drawing's elements and infer depth offsets between these elements.The second is an approach to decompose depictions of smooth shapes with non trivial cusp points into a set of structural parts' silhouettes ordered in depth, which can be used for editing and animation purposes.Many related ideas were explored on the way, and the ones presented in this manuscript leaves me confident about the future of this field of research
Selsis, Muriel. "Application des modèles de contours actifs au suivi et à la localisation 3D d'objets en mouvement." Lille 1, 1996. http://www.theses.fr/1996LIL10021.
Повний текст джерелаDecaudin, Philippe. "Modélisation par fusion de formes 3D pour la synthèse d'images : rendu de scènes 3D imitant le style "dessin animé"." Compiègne, 1996. http://www.theses.fr/1996COMPD938.
Повний текст джерелаIn the main section, we introduce new tools for modeling three¬dimensionnal objects for computer graphics. They allow interactive modeling of smooth shapes such as organic-looking shapes (animals, human bodies) and help animating and texturing them. A complex object is created by applying a succession of fusion and twist deformations to a simple object. The fusion tool allows deformation of the shape of the object by merging it with a simple 3D-shape (sphere, ellipsoid,. . . ); the object is deformed so that it embeds the simple shape. The twist tool allows creation of articulations which can be used to animate the deformable object. In a second section, we introduce a non-photorealistic rendering algorithm. It produces images having the appearance of a traditional cartoon from a 3D description of the scene (a static or an animated scene). The 3D scene is rendered with techniques allowing to outline the profiles and edges of objects, to color uniformly the patches, and to render shadows (self-shadows and projected-shadows) due to light sources
Allain, Benjamin. "Suivi volumétrique de formes 3D non rigides." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM017/document.
Повний текст джерелаIn this thesis we propose algorithms for tracking 3D deformable shapes in motion from multiview video. Although series of reconstructed 3D shapes can be obtained by applying a static reconstruction algorithm to each temporal frame independently, such series do not represent motion. Instead, we want to provide a temporally coherent representation of the sequence of shapes resulting from temporal evolutions of a shape. Precisely, we want to represent the observed shape sequence as a 3D surface mesh whose vertices move in time but whose topology is constant.In contrast with most existing approaches, we propose to represent the motion of inner shape volumes, with the aim of better accounting for the volumetric nature of the observed object. We provide a fully volumetric approach to the fundamental problems of deformable shape tracking, which are the association between corresponding shape elements and the deformation model. In particular, we extend to a volumetric shape representation the EM-ICP tracking framework and the association-by-detection strategy.Furthermore, in order to better constrain the shape tracking problem, we propose a model for the temporal evolution of deformation. Our deformation model defines a shape space parametrized by variables that capture local deformation properties of the shape and whose values are automatically learned during the tracking process.We validate our tracking algorithms on several multiview video sequences with ground truth (silhouette and marker-based tracking). Our results are better or comparable to state of the art approaches.Finally, we show that volumetric tracking and the shape representation we choose can be leveraged for producing shape animations which combine captured and simulatated motion
Filali, Ansary Tarik. "Indexation de modèles 3D à partir de vues 2D." Evry, Institut national des télécommunications, 2006. http://www.theses.fr/2006TELE0006.
Повний текст джерелаThe management of big databases of three-dimensional models ( used in CAD applications, visualization, games, etc. ) is very important domain. The ability to characterize and easily retrieve 3D models is a key issue for the designers and the final users. In this frame, two main appoaches exist : search by example of a 3D model, and search by a 2D view or photo. In this thesis we focus ont he characterization of a 3D model by a set of views ( called characteristic views), and on the indexing process of the 3D models using theses characteristic views. In this thesis, we propose a new method for the selection of the " optimal" characteristic views set based on an informational criterion ( Bayesian information criteria). Starting from fact that all the views of a model 3D do not contain the same quantity of information about 3D model, we present a new bayesian approach for the indexing of the 3D models using their views. Our approach takes into account the probability of appreance of a 3D model and the importance of each of its view. Experiments carried on a database of 5000 3D models provided by Renault, within the framework of the RNRT SEMANTIC-D, show the good results of our method on mechanical objects. We compared our method with the most recent and relevant 3D models indexing methods using the standard database " Princeton Shape Benchmark". These experiments highlighted the very good results of our method compared with the ither approaches. To access our results and permit the test of our method, we made 3D search engine available online accessible using a PC or a PDA. Our searche engine permit the search for 3D objects using an example 3D model, a drawing or one or more photographs
Filbois, Alain. "Contributions à la modélisation automatique d'objets polyédriques 3D : extraction des primitives 3D, facettes et segments." Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL075N.
Повний текст джерелаКниги з теми "Modélisation de formes 3D"
Rumelhard, Guy. Les Formes de causalité dans les sciences de la vie et de la terre: Approche didactique : représentation, conceptualisation, modélisation. Paris: Institut national de recherche pédagogique, 2000.
Знайти повний текст джерелаBlake, Andrew. Visual reconstruction. Cambridge, Mass: MIT, 1987.
Знайти повний текст джерелаRey, Patrice. Modélisation 3d Avec C# et Wpf. Lulu Press, Inc., 2011.
Знайти повний текст джерела3D Origami Art. CRC Press LLC, 2017.
Знайти повний текст джерелаMitani, Jun. 3D Origami Art. CRC Press LLC, 2017.
Знайти повний текст джерелаMitani, Jun. 3D Origami Art. Taylor & Francis Group, 2017.
Знайти повний текст джерелаMitani, Jun. 3D Origami Art. CRC Press LLC, 2017.
Знайти повний текст джерелаMitani, Jun. 3D Origami Art. CRC Press LLC, 2017.
Знайти повний текст джерелаGarnier, Lionel. Mathématiques: Pour la modélisation géométrique la représentation 3D et la synthèse d'images. Ellipses, 2007.
Знайти повний текст джерелаHamad, Munir. AutoCAD 2021 3D Modelling. Mercury Learning & Information, 2020.
Знайти повний текст джерелаЧастини книг з теми "Modélisation de formes 3D"
Labarthe, Hugues. "Diffusion, modélisation et mesure de l’information au temps du Grand Schisme d’Occident (1378-1429)." In Les formes de l'échange, 265–83. Presses universitaires de Rennes, 2012. http://dx.doi.org/10.4000/books.pur.129708.
Повний текст джерелаDessales, Hélène, Jean Ponce, Alban-Brice Pimpaud, and Agnès Tricoche. "La villa de Diomède à Pompéi, du corpus d’archives à la modélisation 3D." In Les archives de fouilles : modes d’emploi. Collège de France, 2017. http://dx.doi.org/10.4000/books.cdf.4894.
Повний текст джерелаMORA, Angel. "Modélisation numérique de réseaux de nanocharges en carbone dans les composites de polymères." In Nanocomposites, 199–227. ISTE Group, 2021. http://dx.doi.org/10.51926/iste.9031.ch7.
Повний текст джерелаТези доповідей конференцій з теми "Modélisation de formes 3D"
Idier, Déborah, and Dominique Astruc. "Modélisation numérique de formes de fond périodiques en domaine peu profond. Exemple : les bancs de sable." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2002. http://dx.doi.org/10.5150/jngcgc.2002.018-i.
Повний текст джерелаLubin, Pierre, Stéphane Abadie, Stéphane Vincent, and Jean-Paul Caltagirone. "Etude du déferlement par modélisation numérique 2D et 3D." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2002. http://dx.doi.org/10.5150/jngcgc.2002.010-l.
Повний текст джерелаMassamba, Fidèle, Salim Mezazigh, and Daniel Levacher. "Modélisation 3D d’un pieu chargé latéralement dans un massif sableux à proximité d’un talus." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2004. http://dx.doi.org/10.5150/jngcgc.2004.071-m.
Повний текст джерелаBoone, Veronique Joanna, and Denis Derycke. "Analyse architecturale, modélisation 3D et narration filmique : un regard original sur quelques objets corbuséens." In LC2015 - Le Corbusier, 50 years later. Valencia: Universitat Politècnica València, 2015. http://dx.doi.org/10.4995/lc2015.2015.764.
Повний текст джерелаMilliez, S. "Blocs allogéniques d’origine fémorale en apposition horizontale : indications, intérêts et apport de la modélisation 3D." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601013.
Повний текст джерелаHadj SaÏd, M., L. Thollon, Y. Godio-Raboutet, J. H. Catherine, C. M. Chossegros, and D. Tardivo. "Modélisation 3D de l’os maxillaire dans l’analyse par éléments finis en implantologie orale : une nouvelle approche utilisant CBCT et anthropométrie." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603022.
Повний текст джерелаTOUBLANC, Florence, Isabelle BRENON, and Thibault COULOMBIER. "Modélisation 3D de la dynamique des sédiments fins dans l’estuaire de la Charente (France) : évolution du bouchon vaseux et estimation des flux sédimentaires." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2014. http://dx.doi.org/10.5150/jngcgc.2014.056.
Повний текст джерелаCatros, S. "A quoi servent les Bio-Imprimantes 3D ?" In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601012.
Повний текст джерелаPajot, T., S. Ketoff, and L. Bénichou. "Chirurgie implantaire guidée : acquisition, planification, modélisation et production d'un guide chirurgical. Mise en place d'une chaine numérique pour la création interne et l'utilisation de guides chirurgicaux." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206602006.
Повний текст джерелаЗвіти організацій з теми "Modélisation de formes 3D"
Caron, O., M. Lamothe, N. Benoit, and M. Nastev. Modélisation géologique 3D des sédiments quaternaires du bassin versant de la rivière Chaudière, Québec. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/295183.
Повний текст джерела