Relevant bibliographies by topics / Reconstruction 3D pilotée par model

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  2. Dissertations / Theses

Academic literature on the topic 'Reconstruction 3D pilotée par model'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Reconstruction 3D pilotée par model"

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Zhang, Congyi, Mohamed Elgharib, Gereon Fox, Min Gu, Christian Theobalt, and Wenping Wang. "An Implicit Parametric Morphable Dental Model." ACM Transactions on Graphics 41, no. 6 (2022): 1–13. http://dx.doi.org/10.1145/3550454.3555469.

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3D Morphable models of the human body capture variations among subjects and are useful in reconstruction and editing applications. Current dental models use an explicit mesh scene representation and model only the teeth, ignoring the gum. In this work, we present the first parametric 3D morphable dental model for both teeth and gum. Our model uses an implicit scene representation and is learned from rigidly aligned scans. It is based on a component-wise representation for each tooth and the gum, together with a learnable latent code for each of such components. It also learns a template shape
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Kovalenko, Onorina, Vladislav Golyanik, Jameel Malik, Ahmed Elhayek, and Stricker. "Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data." Sensors 19, no. 20 (2019): 4603. http://dx.doi.org/10.3390/s19204603.

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Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to specific types of objects and motions covered by the training datasets. Model-based approaches do not rely on training data but show lower accuracy on these datasets. In this paper, we introduce a model-based method called Structure from Articulated Motion (SfAM), which can recover multiple object and motion types without training on extensive data collections. At
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Zholus, Artem, Maksim Kuznetsov, Roman Schutski, et al. "BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 24 (2025): 26083–91. https://doi.org/10.1609/aaai.v39i24.34804.

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Generating novel active molecules for a given protein is an extremely challenging task for generative models that requires an understanding of the complex physical interactions between the molecule and its environment. This paper presents a novel generative model, BindGPT, which uses a conceptually simple but powerful approach to create 3D molecules within the protein's binding site. Our model produces molecular graphs and conformations jointly, eliminating the need for an extra graph reconstruction step. We pre-train BindGPT on a large-scale dataset and fine-tune it with reinforcement learnin
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Zwölfer, Michael, Martin Mössner, Helge Rhodin, Werner Nachbauer, and Dieter Heinrich. "Integration of a skier-specific keypoint detection model in a hybrid 3D motion capture pipeline." Current Issues in Sport Science (CISS) 9, no. 4 (2024): 013. http://dx.doi.org/10.36950/2024.4ciss013.

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Introduction & Purpose Alpine skiing, like many outdoor sports, presents significant challenges for motion capture due to its large capture volumes, high athlete speeds, variable environmental conditions, and occlusions, e.g., due to snow spray. While traditional marker-based motion capture systems offer highest precision in the lab, they are usually unsuitable for outdoor settings. Sensor-based methods, such as inertial measurement units, however, may suffer from inaccuracies due to sensor noise and drift, while they only provide relative segment positions (Fasel et al., 2018). Therefore,
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Frey, Julian, Zoe Schindler, Patrick McClatchy, Christopher Morhart, Elena Larysch, and Thomas Seifert. "The 3D reconstruction of wood and leaves from terrestrial laser scanning – a case study on PAR measurements below a solitary Malus domestica tree." Silva Fennica 59, no. 1 (2025). https://doi.org/10.14214/sf.24027.

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In this paper, we present a new methodology that directly extracts the geometry of woody features (wood and bark) and foliage from 3D data originating from terrestrial laser scans. Our goal was to enhance the precision of radiative transfer models for modelling tree shading by using highly resolved 3D tree models. The approach was tested on a single apple tree (Malus domestica (Suckow) Borkh.) in a peri-urban setting and was validated by utilising an open-source radiative transfer model and comparing the simulation output with in-situ measurements of photosynthetically active radiation (PAR) a
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Lemm, Dominik, Guido Falk von Rudorff, and O. Anatole von Lilienfeld. "Machine learning based energy-free structure predictions of molecules, transition states, and solids." Nature Communications 12, no. 1 (2021). http://dx.doi.org/10.1038/s41467-021-24525-7.

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AbstractThe computational prediction of atomistic structure is a long-standing problem in physics, chemistry, materials, and biology. Conventionally, force-fields or ab initio methods determine structure through energy minimization, which is either approximate or computationally demanding. This accuracy/cost trade-off prohibits the generation of synthetic big data sets accounting for chemical space with atomistic detail. Exploiting implicit correlations among relaxed structures in training data sets, our machine learning model Graph-To-Structure (G2S) generalizes across compound space in order
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Perdreau, E., Z. Jalal, R. Walton, et al. "Non-invasive assessment of cardiac percutaneous occluders healing process using computed tomography imaging: a proof of concept study." European Heart Journal - Cardiovascular Imaging 22, Supplement_1 (2021). http://dx.doi.org/10.1093/ehjci/jeaa356.246.

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Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): National Research Agency (ANR) French Federation of Cardiology : “Aide à la recherche par équipe 2018, Cardiopathies de l’enfant” Introduction After percutaneous implantation of an atrial septal defect (ASD) occluder device, a complex healing process leads to the device coverage within several months. However, an unexplained incomplete device coverage is at risk of complications such as thrombosis or infectious endocarditis. Purpose The aim of the study was to assess the device coverage process of ASD occ
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Dissertations / Theses on the topic "Reconstruction 3D pilotée par model"

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Jin, Nan. "ModSETS : a model-driven stereo eye tracking system : application in the medical field." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0339.

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La plupart des systèmes de suivi de l’œil existants ne fournissent que des analyses précises et en temps réel des mouvements oculaires 2D (horizontaux et verticaux) dans des conditions de laboratoire. Ils sont en général insuffisants pour les applications du domaine médical, parce que leur robustesse est souvent mise à l'épreuve dans la pratique et la mesure du mouvement torsionnel de l’œil est ignorée la plupart du temps. Cela augmente la difficulté d'interprétation des données collectées et peut donc affecter la qualité du diagnostic médical. Un système de suivi de l’œil en stéréophotogrammé
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Valade, Charles. "Développement d'une méthodologie adaptée à l'industrie microélectronique pour la reconstruction topographique par imagerie SEM à faisceau inclinable." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALT015.

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Avec l’avancée des technologies de la microélectronique, l’architecture des composants électroniques devient de plus en plus compliquée. Or, la connaissance des caractéristiques dimensionnelles des structures réalisées est importante pour pouvoir comprendre et optimiser le comportement de ces composants. C’est pourquoi il existe un besoin de développer des méthodes de mesure tridimensionnelles rapides et non destructives.Le microscope électronique à balayage (SEM) est largement utilisé pour réaliser des mesures dimensionnelles car il répond aux problématiques de rapidité et de non-destructivit
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Jubert, Manon. "Algorithme de planification de numérisation et d’alignement de nuages de points 3D pour le contrôle in-situ de pièces mécaniques en cours d’usinage." Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0233.

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Dans ce travail de thèse, nous traitons le problème de planification de numérisation et nous abordons également la problématique d'alignement de nuages de points 3D. Ces problèmes peuvent être étudiés et globalisés pour répondre aux besoins de nombreux domaines d'études. Dans ce manuscrit, nous répondons à la problématique suivante : comment contrôler automatiquement une pièce mécanique en cours d'usinage ? La première contribution à cette étude est l'élaboration d'un algorithme de planification automatique de numérisation de la pièce en fonction des contrôles à effectuer sur celle-ci. L'appro
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