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Статті в журналах з теми "Ligne d'horizon"
Knapp, Bettina L., Zhang Xinxin, Emmanuelle Péchenart, and Henry Houssay. "Sur la même ligne d'horizon." World Literature Today 61, no. 4 (1987): 680. http://dx.doi.org/10.2307/40143978.
Повний текст джерелаBrown, Penelope. "Anthropologie cognitive." Anthropologie et Sociétés 23, no. 3 (September 10, 2003): 91–119. http://dx.doi.org/10.7202/015619ar.
Повний текст джерелаPrado Jr., Plínio W. "A DESORIENTAÇÃO GERAL." Revista Observatório 4, no. 2 (April 1, 2018): 995. http://dx.doi.org/10.20873/uft.2447-4266.2018v4n2p995.
Повний текст джерелаBouarab-Dahmani, Farida, and Razika Tahi. "Assurance Qualité des Formations Universitaires." Journal of Quality in Education 4, no. 5 (May 5, 2014): 11. http://dx.doi.org/10.37870/joqie.v4i5.48.
Повний текст джерелаSabeima, Massra, Myriam Lamolle, Azziz Anghour, and Mohamedade Nanne. "Towards a semantic platform for adaptive and collaborative e-learning." Revue Africaine de Recherche en Informatique et Mathématiques Appliquées Volume 37 - 2022 (January 10, 2023). http://dx.doi.org/10.46298/arima.8396.
Повний текст джерелаBelleflamme, Paul, and Julien Jacqmin. "Numéro 110 - février 2014." Regards économiques, October 12, 2018. http://dx.doi.org/10.14428/regardseco.v1i0.15233.
Повний текст джерелаBelleflamme, Paul, and Julien Jacqmin. "Numéro 110 - février 2014." Regards économiques, October 12, 2018. http://dx.doi.org/10.14428/regardseco2014.02.01.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаThis 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
Книги з теми "Ligne d'horizon"
Partant, François. La ligne d'horizon: Essai sur l'après-développement. Paris: Découverte, 1988.
Знайти повний текст джерелаEbome, Marie-Constance Zeng. LIGNES D'HORIZON - Poème negro-spiritual de mon âme. Paris: Editions L'Harmattan, 2008.
Знайти повний текст джерелаéd, Viviès Jean, ed. Lignes d'horizon: Récits de voyage de la littérature anglaise. Aix-en-Provence: Université de Provence, 2002.
Знайти повний текст джерелаLOPES, Victor, and Vincent CREUZEAU. Ligne D'horizon. Independently Published, 2018.
Знайти повний текст джерелаHamery, Christophe, and Pascale Petit. La ligne d'horizon. Editions du Rouergue, 1999.
Знайти повний текст джерелаLang, Luc. Voyage sur la ligne d'horizon. Gallimard, 1999.
Знайти повний текст джерелаVoyage sur la ligne d'horizon: Roman. [Paris]: Gallimard, 1988.
Знайти повний текст джерелаLa ligne d'horizon: Essai sur l'après-développement. Paris: La Découverte, 2007.
Знайти повний текст джерелаLignes d'horizon : L'Architecture et son site. Thames & Hudson, 2002.
Знайти повний текст джерелаVivies, Jean. Lignes d'horizon. recits de voyage de la litterature anglaise. Pu Provence, 2002.
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