Academic literature on the topic 'Représentation de squelettes'
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Journal articles on the topic "Représentation de squelettes":
Pugnet, Natacha. "Mickey Cuvier et autres figures animalières dans l’oeuvre de Mark Dion." Figures de l'Art. Revue d'études esthétiques 8, no. 1 (2004): 187–206. http://dx.doi.org/10.3406/fdart.2004.1343.
Cherrier, Chloé, Charlotte Akhras-Pancaldi, Josefin De Pietro, Emmanuel Rusch, Gildas Vieira, Catherine Potard, Amandine Fillol, and Robert Courtois. "Accompagner l’applicabilité et la transférabilité du programme « Sortir Ensemble & Se Respecter » en Frances." Santé Publique 36, no. 1 (April 5, 2024): 23–32. http://dx.doi.org/10.3917/spub.241.0023.
Dissertations / Theses on the topic "Représentation de squelettes":
Attali, Dominique. "Squelettes et graphes de Voronoï 2D et 3D." Phd thesis, Université Joseph Fourier (Grenoble), 1995. http://tel.archives-ouvertes.fr/tel-00346066.
Montanvert, Annick. "Contribution au traitement de formes discrètes : squelettes et codage par graphe de la ligne médiane." Phd thesis, Grenoble INPG, 1987. http://tel.archives-ouvertes.fr/tel-00325209.
Yang, Di. "Apprendre des représentations vidéo efficaces pour la reconnaissance d'actions." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4000.
Human action recognition is an active research field with significant contributions to applications such as home-care monitoring, human-computer interaction, and game control. However, recognizing human activities in real-world videos remains challenging in learning effective video representations that have a high expressive power to represent human spatio-temporal motion, view-invariant actions, complex composable actions, etc. To address this challenge, this thesis makes three contributions towards learning such effective video representations that can be applied and evaluated on real-world human action classification and segmentation tasks by transfer-learning. The first contribution is to improve the generalizability of human skeleton motion representation models. We propose a unified framework for real-world skeleton human action recognition. The framework includes a novel skeleton model that not only effectively learns spatio-temporal features on human skeleton sequences but also generalizes across datasets. The second contribution extends the proposed framework by introducing two novel joint skeleton action generation and representation learning frameworks for different downstream tasks. The first is a self-supervised framework for learning from synthesized composable motions for skeleton-based action segmentation. The second is a View-invariant model for self-supervised skeleton action representation learning that can deal with large variations across subjects and camera viewpoints. The third contribution targets general RGB-based video action recognition. Specifically, a time-parameterized contrastive learning strategy is proposed. It captures time-aware motions to improve performance of action classification in fine-grained and human-oriented tasks. Experimental results on benchmark datasets demonstrate that the proposed approaches achieve state-of-the-art performance in action classification and segmentation tasks. The proposed frameworks improve the accuracy and interpretability of human activity recognition and provide insights into the underlying structure and dynamics of human actions in videos. Overall, this thesis contributes to the field of video understanding by proposing novel methods for skeleton-based action representation learning, and general RGB video representation learning. Such representations benefit both action classification and segmentation tasks
Rolland, Franck. "Représentation tridimensionnelle et reconstruction 3D à partir de coupes 2D." Phd thesis, Grenoble 1, 1991. http://tel.archives-ouvertes.fr/tel-00339648.
Gourmel, Olivier. "Mélange de surfaces en temps réel : visualisation, contrôle des déformations et application à la modélisation." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30046/document.
Implicit surfaces have been considered during the eightees as a promising alternative to parametric surfaces (NURBS patches, etc...). They are defined as the set of points having the same value of a scalar field, thus spliting the space into two volumes. Their volumetric nature confers them interesting properties for geometric modeling: the topology of objects is handled automatically, geometries are guaranteed to be manifold and they can produce smooth blendings of objects easily. However, they were abandoned at the beginning of the 21st century due to the limitations they impose: they are computationally expensive to evaluate and to display, and the shape of the transition between objects is difficult to control. This thesis proposes new solutions to these problems in implicit surfaces modeling. First of all, it is shown that the use of a new object-partitioning structure, mixing the properties of a bounding volume hierarchy and a Kd-Tree, makes it possible to raytrace a large number of implicit primitives at interactive frame rates. Therefore it allows real time visualization of fluid-like shapes, defined as an isosurface of a potential field computed as the sum of simple primitives. Simple composition operators of implicit surfaces, such as the sum operator, allow a fast computation of a potential field combining thousands of primitives. Nevertheless, the shape of the resulting surfaces is organic and difficult to control. In this thesis, a new kind of composition operators is proposed, which takes both the value and the gradient of the source potential fields as input. These operators give much more control on the shape of the surfaces, and they avoid the classical problems of implicit surfaces composition, such as bulging at the intersection of two primitives or blending of surfaces at a distance. Finally, a new skeleton-based animation technique is presented which reproduces the deformations of some implicit surfaces on a given mesh. We define a potential field as the composition of implicit primitives generated at the bones of the skeleton. Thus each motion of the skeleton will cause distortions in the associated potential field. These distortions can be reproduced on the mesh by moving each of its vertices to the isosurface of the potential field corresponding to their initial potential value. This technique is able to produce rapidly realistic deformations on the limbs of an articulated model of a body
Bendjaballah, Sabrina. "Trois figures de la structure interne des gabarits : activité morphologique du niveau squelettal des représentations phonologiques en berbère, somali et bedja." Paris 7, 1999. http://www.theses.fr/1999PA070098.
El, Barrak Maher. "Contribution à l'étude de l'aptitude à l'écoulement des bétons autoplaçants à l'état frais." Toulouse 3, 2005. http://www.theses.fr/2005TOU30080.