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Artykuły w czasopismach na temat "Ligne d'horizon"
Knapp, Bettina L., Zhang Xinxin, Emmanuelle Péchenart i Henry Houssay. "Sur la même ligne d'horizon". World Literature Today 61, nr 4 (1987): 680. http://dx.doi.org/10.2307/40143978.
Pełny tekst źródłaBrown, Penelope. "Anthropologie cognitive". Anthropologie et Sociétés 23, nr 3 (10.09.2003): 91–119. http://dx.doi.org/10.7202/015619ar.
Pełny tekst źródłaPrado Jr., Plínio W. "A DESORIENTAÇÃO GERAL". Revista Observatório 4, nr 2 (1.04.2018): 995. http://dx.doi.org/10.20873/uft.2447-4266.2018v4n2p995.
Pełny tekst źródłaBouarab-Dahmani, Farida, i Razika Tahi. "Assurance Qualité des Formations Universitaires". Journal of Quality in Education 4, nr 5 (5.05.2014): 11. http://dx.doi.org/10.37870/joqie.v4i5.48.
Pełny tekst źródłaSabeima, Massra, Myriam Lamolle, Azziz Anghour i Mohamedade Nanne. "Towards a semantic platform for adaptive and collaborative e-learning". Revue Africaine de Recherche en Informatique et Mathématiques Appliquées Volume 37 - 2022 (10.01.2023). http://dx.doi.org/10.46298/arima.8396.
Pełny tekst źródłaBelleflamme, Paul, i Julien Jacqmin. "Numéro 110 - février 2014". Regards économiques, 12.10.2018. http://dx.doi.org/10.14428/regardseco.v1i0.15233.
Pełny tekst źródłaBelleflamme, Paul, i Julien Jacqmin. "Numéro 110 - février 2014". Regards économiques, 12.10.2018. http://dx.doi.org/10.14428/regardseco2014.02.01.
Pełny tekst źródłaRozprawy doktorskie na temat "Ligne d'horizon"
Elassam, Abdelkarim. "Learning-based vanishing point detection and its application to large-baseline image registration". Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0084.
Pełny tekst źródłaThis thesis examines the detection of vanishing points and the horizon line and their application to visual localization tasks in urban environments. Visual localization is a fundamental problem in computer vision that aims to determine the position and orientation of a camera in an environment based solely on visual information. In urban and manufactured environments, vanishing points are important visual landmarks that provide crucial information about the scene's structure, making their detection important for reconstruction and localization tasks. The thesis proposes new deep learning methods to overcome the limitations of existing approaches to vanishing point detection. The first key contribution introduces a novel approach for HL and VP detection. Unlike most existing methods, this method directly infers both the HL and an unlimited number of horizontal VPs, even those extending beyond the image frame. The second key contribution of this thesis is a structure-enhanced VP detector. This method utilizes a multi-task learning framework to estimate multiple horizontal VPs from a single image. It goes beyond simple VP detection by generating masks that identify vertical planar structures corresponding to each VP, providing valuable scene layout information. Unlike existing methods, this approach leverages contextual information and scene structures for accurate estimation without relying on detected lines. Experimental results demonstrate that this method outperforms traditional line-based methods and modern deep learning-based methods. The thesis then explores the use of vanishing points for image matching and registration, particularly in cases where images are captured from vastly different viewpoints. Despite continuous progress in feature extractors and descriptors, these methods often fail in the presence of significant scale or viewpoint variations. The proposed methods address this challenge by incorporating vanishing points and scene structures. One major challenge in using vanishing points for registration is establishing reliable correspondences, especially in large-scale scenarios. This work addresses this challenge by proposing a vanishing point detection method aided by the detection of masks of vertical scene structures corresponding to these vanishing points. To our knowledge, this is the first implementation of a method for vanishing point matching that exploits image content rather than just detected segments. This vanishing point correspondence facilitates the estimation of the camera's relative rotation, particularly in large-scale scenarios. Additionally, incorporating information from scene structures enables more reliable keypoint correspondence within these structures. Consequently, the method facilitates the estimation of relative translation, which is itself constrained by the rotation derived from the vanishing points. The quality of rotation can sometimes be impacted by the imprecision of detected vanishing points. Therefore, we propose a vanishing point-guided image matching method that is much less sensitive to the accuracy of vanishing point detection
Książki na temat "Ligne d'horizon"
Partant, François. La ligne d'horizon: Essai sur l'après-développement. Paris: Découverte, 1988.
Znajdź pełny tekst źródłaEbome, Marie-Constance Zeng. LIGNES D'HORIZON - Poème negro-spiritual de mon âme. Paris: Editions L'Harmattan, 2008.
Znajdź pełny tekst źródłaéd, Viviès Jean, red. Lignes d'horizon: Récits de voyage de la littérature anglaise. Aix-en-Provence: Université de Provence, 2002.
Znajdź pełny tekst źródłaLOPES, Victor, i Vincent CREUZEAU. Ligne D'horizon. Independently Published, 2018.
Znajdź pełny tekst źródłaHamery, Christophe, i Pascale Petit. La ligne d'horizon. Editions du Rouergue, 1999.
Znajdź pełny tekst źródłaLang, Luc. Voyage sur la ligne d'horizon. Gallimard, 1999.
Znajdź pełny tekst źródłaVoyage sur la ligne d'horizon: Roman. [Paris]: Gallimard, 1988.
Znajdź pełny tekst źródłaLa ligne d'horizon: Essai sur l'après-développement. Paris: La Découverte, 2007.
Znajdź pełny tekst źródłaLignes d'horizon : L'Architecture et son site. Thames & Hudson, 2002.
Znajdź pełny tekst źródłaVivies, Jean. Lignes d'horizon. recits de voyage de la litterature anglaise. Pu Provence, 2002.
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