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Academic literature on the topic 'Alignement du visage'
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Journal articles on the topic "Alignement du visage"
Laveault, Dany, and Louise Bourgeois. "La politique d’évaluation du rendement en Ontario : un alignement qui se précise dans la persévérance et la durée." Éducation et francophonie 42, no. 3 (November 18, 2014): 50–67. http://dx.doi.org/10.7202/1027405ar.
Full textLouafi, Sélim. "À propos du colloque « Pour une recherche et une innovation responsables » : une analyse aux niveaux macro, micro et méso." Natures Sciences Sociétés, 2022. http://dx.doi.org/10.1051/nss/2022029.
Full textIORIO, Étienne, François DUSOULIER, Fabien SOLDATI, Franck NOËL, Jean-Alain GUILLOTON, Guillaume DOUCET, Philippe PONEL, et al. "Les Arthropodes terrestres dans les études d’impact : limites actuelles et propositions pour une meilleure priseen compte des enjeux de conservation." Naturae, no. 4 (February 23, 2022). http://dx.doi.org/10.5852/naturae2022a4.
Full textDissertations / Theses on the topic "Alignement du visage"
Al, Chami Zahi. "Estimation de la qualité des données multimedia en temps réel." Thesis, Pau, 2021. http://www.theses.fr/2021PAUU3066.
Full textOver the past decade, data providers have been generating and streaming a large amount of data, including images, videos, audio, etc. In this thesis, we will be focusing on processing images since they are the most commonly shared between the users on the global inter-network. In particular, treating images containing faces has received great attention due to its numerous applications, such as entertainment and social media apps. However, several challenges could arise during the processing and transmission phase: firstly, the enormous number of images shared and produced at a rapid pace requires a significant amount of time to be processed and delivered; secondly, images are subject to a wide range of distortions during the processing, transmission, or combination of many factors that could damage the images’content. Two main contributions are developed. First, we introduce a Full-Reference Image Quality Assessment Framework in Real-Time, capable of:1) preserving the images’content by ensuring that some useful visual information can still be extracted from the output, and 2) providing a way to process the images in real-time in order to cope with the huge amount of images that are being received at a rapid pace. The framework described here is limited to processing those images that have access to their reference version (a.k.a Full-Reference). Secondly, we present a No-Reference Image Quality Assessment Framework in Real-Time. It has the following abilities: a) assessing the distorted image without having its distortion-free image, b) preserving the most useful visual information in the images before publishing, and c) processing the images in real-time, even though the No-Reference image quality assessment models are considered very complex. Our framework offers several advantages over the existing approaches, in particular: i. it locates the distortion in an image in order to directly assess the distorted parts instead of processing the whole image, ii. it has an acceptable trade-off between quality prediction accuracy and execution latency, andiii. it could be used in several applications, especially these that work in real-time. The architecture of each framework is presented in the chapters while detailing the modules and components of the framework. Then, a number of simulations are made to show the effectiveness of our approaches to solve our challenges in relation to the existing approaches
Beauchesne, Étienne. "Reconnaissance de visages à partir de modèles tridimensionnels." Thèse, 2002. http://hdl.handle.net/1866/14503.
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