Bibliografías temáticas / Images texturées

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Literatura académica sobre el tema "Images texturées"

Autor: Grafiati
Publicado: 1 de junio de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Images texturées"

1

Girod, Luc, and Marc Pierrot-Deseilligny. "L'Égalisation radiométrique de nuages de points 3D issus de corrélation dense." Revue Française de Photogrammétrie et de Télédétection, no. 206 (June 19, 2014): 3–14. http://dx.doi.org/10.52638/rfpt.2014.90.

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Si les problèmes de colorimétrie dans le mosaïquage d'images ont fait l'objet d'études approfondies par le passé et qu'ils sont maintenant globalement résolus, il n'en est pas de même pour l'égalisation des scènes non planaires et des produits photogrammétriques 3D associés. En effet, certains produits photogrammétriques ne sont pas des images mais des produits purement 3D, de type nuage de points ou surfaces texturées, notamment. Cependant, la cohérence colorimétrique reste d'une grande importance dans ces cas pour une visualisation plus fluide des résultats. Cet article explore donc des algo
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Boussidi, Brahim, Ronan Fablet, Emmanuelle Autret, and Bertrand Chapron. "Accroissement stochastique de la résolution spatiale des traceurs géophysiques de l'océan: application aux observations satellitaires de la température de surface de l'océan." Revue Française de Photogrammétrie et de Télédétection, no. 202 (April 16, 2014): 66–78. http://dx.doi.org/10.52638/rfpt.2013.52.

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Le développement des capteurs satellitaires d'observation des traceurs géophysiques à la surface de l'océan et les algorithmes de traitement associés ont connu un essor important au cours des vingt dernières années. Les différents capteurs satellitaires disponibles présentent des résolutions spatiales et temporelles différentes ainsi que différents niveaux de sensibilité à la couverture nuageuse. Dans le cas des images de température de surface de la mer, ceci se traduit notamment par de forts taux de données manquantes dans les observations de très haute-résolution (de l'ordre de 1kmx1km) con
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Hemalatha, S., and S. Margret Anouncia. "A Computational Model for Texture Analysis in Images with Fractional Differential Filter for Texture Detection." International Journal of Ambient Computing and Intelligence 7, no. 2 (2016): 93–113. http://dx.doi.org/10.4018/ijaci.2016070105.

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This paper is dedicated to the modelling of textured images influenced by fractional derivatives for texture detection. As most of the images contain textures, texture analysis becomes the most important for image understanding and it is a key solution for many computer vision applications. Hence, texture must be suitably detected and represented. Nevertheless, existing texture detection algorithms consider texture as a unique feature from edges. The proposed model explores a novel way of developing texture detection algorithm by mimicking edge detection algorithms. The method assumes that tex
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Bhaumik, Shubrajit, Viorel Paleu, Dhrubajyoti Chowdhury, et al. "Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions." Materials 15, no. 23 (2022): 8445. http://dx.doi.org/10.3390/ma15238445.

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The present work investigates the friction reduction capability of two types of micro-textures (grooves and dimples) created on steel surfaces using a vertical milling machine. The wear studies were conducted using a pin-on-disc tribometer, with the results indicating a better friction reduction capacity in the case of the dimple texture as compared to the grooved texture. The microscopic images of the pin surface revealed deep furrows and significant damage on the pin surfaces of the groove-textured disc. An optimization of the textured surfaces was performed using an artificial neural networ
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Oliveira, Miguel, Gi-Hyun Lim, Tiago Madeira, Paulo Dias, and Vítor Santos. "Robust Texture Mapping Using RGB-D Cameras." Sensors 21, no. 9 (2021): 3248. http://dx.doi.org/10.3390/s21093248.

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The creation of a textured 3D mesh from a set of RGD-D images often results in textured meshes that yield unappealing visual artifacts. The main cause is the misalignments between the RGB-D images due to inaccurate camera pose estimations. While there are many works that focus on improving those estimates, the fact is that this is a cumbersome problem, in particular due to the accumulation of pose estimation errors. In this work, we conjecture that camera poses estimation methodologies will always display non-neglectable errors. Hence, the need for more robust texture mapping methodologies, ca
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Moldir, Yessenova, Abdikerimova Gulzira, Baitemirova Nurgul, et al. "The applicability of informative textural features for the detection of factors negatively influencing the growth of wheat on aerial images." Eastern-European Journal of Enterprise Technologies 4, no. 2 (118) (2022): 51–58. https://doi.org/10.15587/1729-4061.2022.263433.

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Automated processing of aerospace information makes it possible to effectively solve scientific and applied problems in cartography, ecology, oceanology, exploration and development of minerals, agriculture and forestry, and many other areas. At the same time, the main way to extract information is to decipher images, which are the main carrier of information about the area. Aerospace images are a combination of natural texture regions and man-made objects. This article discusses methods for analyzing texture images. The main tasks of the analysis of texture areas include the selection and for
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Wen, Mingyun, Jisun Park, and Kyungeun Cho. "Textured Mesh Generation Using Multi-View and Multi-Source Supervision and Generative Adversarial Networks." Remote Sensing 13, no. 21 (2021): 4254. http://dx.doi.org/10.3390/rs13214254.

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This study focuses on reconstructing accurate meshes with high-resolution textures from single images. The reconstruction process involves two networks: a mesh-reconstruction network and a texture-reconstruction network. The mesh-reconstruction network estimates a deformation map, which is used to deform a template mesh to the shape of the target object in the input image, and a low-resolution texture. We propose reconstructing a mesh with a high-resolution texture by enhancing the low-resolution texture through use of the super-resolution method. The architecture of the texture-reconstruction
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Kang, Junhua, Fei Deng, Xinwei Li, and Fang Wan. "AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 341–47. http://dx.doi.org/10.5194/isprsarchives-xli-b1-341-2016.

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In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture reconstruction is also a crucial step for generating high-quality and visually realistic 3D models. However, most of the texture reconstruction approaches are probably leading to texture fragmentation and memory inefficiency. In this paper, we introduce an automatic framework of texture reconstruction to generate textures from oblique
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Kang, Junhua, Fei Deng, Xinwei Li, and Fang Wan. "AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 341–47. http://dx.doi.org/10.5194/isprs-archives-xli-b1-341-2016.

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In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture reconstruction is also a crucial step for generating high-quality and visually realistic 3D models. However, most of the texture reconstruction approaches are probably leading to texture fragmentation and memory inefficiency. In this paper, we introduce an automatic framework of texture reconstruction to generate textures from oblique
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Volkova, Natalya P., and Viktor N. Krylov. "VECTOR-DIFFERENCE TEXTURE SEGMENTATION METHOD IN TECHNICAL AND MEDICAL EXPRESS DIAGNOSTIC SYSTEMS." Herald of Advanced Information Technology 3, no. 4 (2020): 226–39. http://dx.doi.org/10.15276/hait.04.2020.2.

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The study shows the need for express systems, in which it is necessary to perform the analysis of texture images in various areas of diagnosis, for example, in medical express diagnostics of dermatologic disorders. Since the reliability of decision-making in such systems depends on the quality of image segmentation, which, as a rule, have the nature of spectral-statistical textures, it is advisable to develop methods for segmentation of such images and models for their presentation. A model of spectral-statistical texture is proposed, which takes into account the random nature of changes in th
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Tesis sobre el tema "Images texturées"

1

Konik, Hubert. "Contribution de l'approche pyramidale à la segmentation des images texturées." Saint-Etienne, 1994. http://www.theses.fr/1994STET4018.

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En réponse au problème de la cotation visuelle assistée par ordinateur des différences d'aspect sur les surfaces textiles, nous nous sommes orientés vers les techniques de multirésolution. Notre contribution porte plus précisement sur leur utilisation dans le domaine de la segmentation via l'approche pyramidale. Après une description et une analyse critique de la structure classique et de ses trop grandes limites (notamment pour la description des objets allonges, des objets en grand nombre ou trop proches,), nous introduisons un nouveau concept : celui des pyramides localisées dans le support
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Germain, Christian. "Contribution à la caractérisation multi-échelle de l'anisotropie des images texturées." Phd thesis, Université Sciences et Technologies - Bordeaux I, 1997. http://tel.archives-ouvertes.fr/tel-00166497.

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Ce travail est consacré à la caractérisation de l'anisotropie des images. Pour y parvenir, il est établi que, dans le cas de textures complexes, la mesure de l'orientation dominante comme celle de l'anisotropie dépendent fortement de l'échelle à laquelle la texture a été observée.<br />Le premier chapitre définit la notion de texture et celle d'échelle d'observation. Les différentes approches de caractérisation texturale existantes sont présentées et leur aptitude à rendre compte des phénomènes directionnels à différentes échelles d'observation est évaluée.<br />Le second chapitre présente les
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Faucheux, Cyrille. "Segmentation supervisée d'images texturées par régularisation de graphes." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4050/document.

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Dans cette thèse, nous nous intéressons à un récent algorithme de segmentation d’images basé sur un processus de régularisation de graphes. L’objectif d’un tel algorithme est de calculer une fonction indicatrice de la segmentation qui satisfait un critère de régularité ainsi qu’un critère d’attache aux données. La particularité de cette approche est de représenter les images à l’aide de graphes de similarité. Ceux-ci permettent d’établir des relations entre des pixels non-adjacents, et ainsi de procéder à un traitement non-local des images. Afin d’en améliorer la précision, nous combinons cet
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Yum-Oh, Suk. "Utilisation de l'information de phase en segmentation et classification des images texturées." La Rochelle, 1995. http://www.theses.fr/1995LAROS003.

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L’étude qui fait l'objet de cette thèse a été menée dans le cadre de l'analyse des textures. Elle contribue à la modélisation de la vision humaine préattentive en introduisant l'information portée par la phase des images texturées filtrées. Les performances du système visuel humain sont en effet particulièrement remarquables en ce qui concerne la vision des textures. Notre système utilise un filtrage multicanaux modelisé par des fonctions de Gabor. L’opération de filtrage par une fonction complexe permet d'obtenir une image en valeur complexe dont le module et la phase renferment des informati
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Formont, Pierre. "Outils statistiques et géométriques pour la classification des images SAR polarimétriques hautement texturées." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00983304.

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Les radars à synthèse d'ouverture (Synthetic Aperture Radar ou SAR) permettent de fournir des images à très haute résolution de la surface de la Terre. Les algorithmes de classification traditionnels se basent sur une hypothèse de bruit gaussien comme modèle de signal, qui est rapidement mise en défaut lorsque l'environnement devient inhomogène ou impulsionnel, comme c'est particulièrement le cas dans les images SAR polarimétriques haute résolution, notamment au niveau des zones urbaines. L'utilisation d'un modèle de bruit composé, appelé modèle SIRV, permet de mieux prendre en compte ces phén
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Formont, P. "Outils statistiques et géométriques pour la classification des images SAR polarimétriques hautement texturées." Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-01020050.

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Les radars à synthèse d'ouverture (Synthetic Aperture Radar ou SAR) permettent de fournir des images à très haute résolution de la surface de la Terre. Les algorithmes de classification traditionnels se basent sur une hypothèse de bruit gaussien comme modèle de signal, qui est rapidement mise en défaut lorsque l'environnement devient inhomogène ou impulsionnel, comme c'est particulièrement le cas dans les images SAR polarimétriques haute résolution, notamment au niveau des zones urbaines. L'utilisation d'un modèle de bruit composé, appelé modèle SIRV, permet de mieux prendre en compte ces phén
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Joseph, Pierre. "Etude expérimentale du glissement sur surfaces lisses et texturées." Paris 6, 2005. http://www.theses.fr/2005PA066214.

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Paulhac, Ludovic. "Outils et méthodes d'analyse d'images 3D texturées : application à la segmentation des images échographiques." Phd thesis, Université François Rabelais - Tours, 2009. http://tel.archives-ouvertes.fr/tel-00576507.

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Le travail présenté dans cette thèse s'inscrit dans le domaine de l'analyse d'images texturées et plus particulièrement d'images 3D (ensembles de voxels). Pour ces dernières, les difficultés d'analyse sont principalement dues à la très grande quantité d'informations à prendre en compte et à traiter, ce qui rend inefficaces les méthodes dédiées aux images 2D. De plus, outre le faible nombre de travaux proposant des méthodes réellement 3D, la majeure partie des méthodes d'analyse de textures existantes n'ont pas une applicabilité très étendue et sont incapables d'identifier certaines classes de
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Nguyen, Tien Sy. "Extraction de structures fines sur des images texturées : application à la détection automatique de fissures sur des images de surface de chaussées." Phd thesis, Université d'Orléans, 2010. http://tel.archives-ouvertes.fr/tel-00592482.

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La dernière décennie a vu l'exploitation d'application d'inspection automatique dans plusieurs domaines grâce à l'avancé des capteurs de vision et des méthodes d'analyse de texture et de segmentation d'images. Cependant, la nature difficile des images de chaussées (fortement texturée), la petite taille des défauts (fissures) conduisent au constat que l'inspection dans ce domaine est réalisée manuellement. Chaque année, en France, des opérateurs doivent visualiser des milliers de kilomètres d'images de route pour y relever des dégradations. Cette façon de faire est couteuse, lente et a un résul
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Karoui, Imen. "Segmentation par méthodes markoviennes et variationnelles des images texturées : application à la caractérisation sonar des fonds marins." Télécom Bretagne, 2007. http://www.theses.fr/2007TELB0035.

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Cette thèse s'inscrit dans la continuité des collaborations de l'Ifremer et de l'ENST-Bretagne sur le thème de l'estimation objective et automatique des caractéristiques physiques des fonds marins et la mise en place d'algorithmes de segmentation des cartographies associées. Dans cette thèse on s'attache plus particulièrement à exploiter l'information texturale présente dans des images sonar haute résolution. Ce mémoire de thèse comprend trois parties. Les deux premières concernent les domaines de l'analyse et de la segmentation des images texturées. La troisième partie présente une adaptation
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Libros sobre el tema "Images texturées"

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Hung, Chih-Cheng, Enmin Song, and Yihua Lan. Image Texture Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13773-1.

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Gimel’farb, Georgy L. Image Textures and Gibbs Random Fields. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4461-2.

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Gimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Springer Netherlands, 1999.

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Harris, David Earl. Texture analysis of skin cancer images. UMI, 1991.

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Korn, Christopher A. Markov random field textures and applications in image processing. Naval Postgraduate School, 1997.

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Wood, E. J. Carpet texture measurement using image analysis. Wronz, 1987.

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Spann, Michael. Texture description and segmentation in image processing. University of Aston. Department of Electrical and Electronic Engineering, 1985.

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Chaki, Jyotismita, and Nilanjan Dey. Texture Feature Extraction Techniques for Image Recognition. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0853-0.

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Rand, Robert S. Texture analysis and cartographic feature extraction. U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1985.

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Gelder, Allen Van. Direct volume rendering with shading via three-dimensional textures. National Aeronautics and Space Administration, 1996.

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Capítulos de libros sobre el tema "Images texturées"

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Xie, Xianghua, and Majid Mirmehdi. "Texture Exemplars for Defect Detection on Random Textures." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_46.

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Magnenat-Thalmann, Nadia, and Daniel Thalmann. "Texture." In Image Synthesis. Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-68060-4_12.

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Peters, James F. "Texture and Texture Set Patterns." In Topology of Digital Images. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53845-2_11.

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Tomita, Fumiaki, and Saburo Tsuji. "Image Segmentation." In Computer Analysis of Visual Textures. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1553-7_3.

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Jähne, Bernd. "Texture." In Digital Image Processing. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-11565-7_9.

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Jähne, Bernd. "Texture." In Digital Image Processing. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-21817-4_9.

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Jähne, Bernd. "Texture." In Digital Image Processing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04781-1_15.

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Jähne, Bernd. "Texture." In Digital Image Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03477-4_12.

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Jähne, Bernd. "Texture." In Digital Image Processing. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03174-2_9.

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Kinser, Jason M. "Texture Recognition." In Image Operators. CRC Press, 2018. http://dx.doi.org/10.1201/9780429451188-16.

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Actas de conferencias sobre el tema "Images texturées"

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Jariwala, Devanshi, and Ruchi Gajjar. "Image Processing Based Texture Transfer Between Images." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739041.

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Sanzharov, Vadim Vladimirovich, and Vladimir Alexandrovich Frolov. "Viewpoint Selection for Texture Reconstruction with Inverse Rendering." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-66-77.

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Viewpoint selection methods have a variety of applications in different fields of computer graphics and computer vision, including shape retrieval, scientific visualization, image-based modeling and others. In this paper we investigate the applicability of existing viewpoint selection methods to the problem of textures reconstruction using inverse rendering. First, we use forward rendering to produce path-traced images of a textured object. Then we apply different view quality metrics to select a set of images for texture reconstruction. Finally, we perform material and texture reconstruction
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Kimura, Soichiro, Kensuke Tobitani, and Noriko Nagata. "BTF Prediction Model using Unsupervised Learning." In 8th International Conference on Control, Modeling and Computing (CMC 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120505.

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The impressions evoked by textures are called affective textures, and are considered to be important in evaluating and judging the quality of an object. And, technologies for understanding and controlling sensory textures are needed in product design. In this study, we propose a BTF prediction method using DNN as a first attempt to generate textures based on affective texture recognition. The method uses a series of continuously varying viewpoint angles of a texture image as the input signal. This method enables the generation of texture images with continuously changing angles. We tested the
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Turner, Mark R. "Gabor functions and textural segmentation." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.wj38.

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This paper investigates the applicability of Gabor functions to textural segmentation. Gabor functions are sinusoidal plane waves in 2-D Gaussian envelopes. The choice of parameters characterizing the geometry of an individual Gabor function affects its spatial extent as well as orientation and spatial frequency tuning. Daugman has indicated that these functions belong to a class of filters having optimal joint resolution in the 2-D space and 2-D frequency domains. They are, therefore, appropriate filter choices for tasks which require selective measurement in these domains. Textural segmentat
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Terescenco, Maria. "Costume texture as one of the main means of artistic expression." In Universitas Europaea: Towards a Knowledge Based Society Through Europeanisation and Globalisation. Free International University of Moldova, 2025. https://doi.org/10.54481/uekbs2024.v2.33.

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In costume design, texture is one of the main means of artistic expression, most clearly reflecting the features of the structure and finish of the surface of the costume, as well as the originality of the artistic technique of execution. Texture is expressive. The texture of the material is the nature of the structure or finish of the surface of the material, affecting the reflection of light rays. Reflection of light at different angles creates a textured relief of the fabric, which we perceive visually, and then by touch. It acts as one of the main sources of tactile information. The percep
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Quediman, Barbara, Enrique Estrada, Radompon Sungkorn, and Jonas Toelke. "BHI Logs and ML Automated Pre-Salt Carbonate: Texture Recognition and Petrophysical Properties Propagation Using Image Log, Core Images and Porosity-Permeability From Plugs." In 2022 SPWLA 63rd Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2022. http://dx.doi.org/10.30632/spwla-2022-0095.

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Identifying depositional facies and diagenetic modifications from BHI logs in sections without core is challenging due to heterogeneities in fabric of the carbonaceous rock, which are below the resolution of the BHI logs in these complex reservoirs. This is mainly due to different diagenetic processes resulting in different types of reservoir rocks (RRTs) with different petrophysical properties in the same geological facies. This work describes an innovative new workflow that uses a deep learning model to identify heterogeneities of fabric (textures) in complex carbonate reservoirs in sections
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Aloimonos, John (Yannis), and Paul Chou. "Detection of surface orientation from texture." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.ww1.

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Texture density depends on both the orientation and the depth of the textured plane in view. Previous approaches stated that because of this fact (i.e., density depends on both scaling and foreshortening), density cannot be used to recover surface orientation under perspective projection. In this paper we prove that these two effects (scaling and foreshortening) can be separated and so texture density can be used to uniquely recover surface orientation. We present algorithms that are based on strong (texels) and weak (edges) segmentation. Experimental results on natural images, based on the Gi
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Shi, Jingang, Yusi Wang, Songlin Dong, et al. "IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/182.

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Face Super-resolution (FSR) task works for generating high-resolution (HR) face images from the corresponding low-resolution (LR) inputs, which has received a lot of attentions because of the wide application prospects. However, due to the diversity of facial texture and the difficulty of reconstructing detailed content from degraded images, FSR technology is still far away from being solved. In this paper, we propose a novel and effective face super-resolution framework based on Transformer, namely Interconnected Dual Pyramid Transformer (IDPT). Instead of straightly stacking cascaded feature
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Silva, Daniel, and Romuere Silva. "Evaluation of Texture Maps as Input to Extract Deep Features in Glaucoma Diagnosis." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12151.

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Glaucoma is a significant cause of blindness in the world. Doctors use computerized images to detect these diseases. Early detection of the disease increases the chances of treatment, reducing the adverse effects. This work proposes an evaluation of texture maps combinations as input to Convolutional Neural Networks for glaucoma classification in retinal images. In our experiments, we used three textures maps, three CNN architectures, and three classifiers. We achieve a Kappa =0.708±0.054 and a Accuracy = 0.859±0.021. We conclude that using the combination of texture maps can improve the autom
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Turner, Mark R. "Local spectral analysis of texture gradients." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tuu28.

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The perspective image of an obliquely inclined textured surface exhibits shape and density distortions of texture elements. These distortions also systematically shift the projection of the spatial frequencies of which the texture is comprised. Using a set of filters with suitable spatial frequency and orientation resolution, the inclination angle of many textured surfaces may be estimated from these frequency shifts. An algorithm has been developed which uses the amplitude distributions of 2-D Gabor filters to perform this calculation on planar surfaces. The algorithm may be viewed as operati
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Informes sobre el tema "Images texturées"

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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s
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Alhasan, Ahmad, Brian Moon, Doug Steele, Hyung Lee, and Abu Sufian. Chip Seal Quality Assurance Using Percent Embedment. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-029.

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This study investigates the use of macrotexture as an indicator of the percent embedment (PE) of aggregate in a chip seal and ultimately, as a quality assurance tool for chip seals. The study included an extensive field- and controlled-testing program from 24 chip seal sections constructed in Illinois. Surface texture measurements were acquired using a high-speed texture profiler and a stationary laser texture device. The analysis showed that stationary texture measurements were more consistent and reliable for estimating PE and characterizing chip seals in the field. Moreover, the ground trut
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McKay, Paul, and C. A. Blain. An Automated Approach to Extracting River Bank Locations from Aerial Imagery Using Image Texture. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada609737.

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LaCascia, Marco, John Isidoro, and Stan Sclaroff. Head Tracking via Robust Registration in Texture Map Images. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada366993.

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Carasso, Alfred S. Singular integrals, image smoothness, and the recovery of texture in image deblurring. National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.7005.

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Wendelberger, James G. Localized Similar Image Texture in Images of Sample Laser Confocal Microscope for Area: FY15 DE07 SW C1 Zone 1 & 2 Section b. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1496724.

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Gletsos, M., S. G. Mougiakakou, G. K. Matsopoulos, K. S. Nikita, and D. Kelekis. Classification of Hepatic Lesions From CT Images Using Texture Features and Neural Networks. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada412422.

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Pe-Piper, G., D. J W Piper, J. Nagle, and P. Opra. Petrography of bedrock and ice-rafted granules: Flemish Cap, offshore Newfoundland and Labrador. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331224.

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This Open File report provides petrographic information from a scanning electron microscope study of granules and small pebbles in four selected trawl samples from Flemish Cap. The mineral composition of the granules was determined by energy dispersive spectroscopy (EDS) and textures are shown in backscattered electron images (BSE). It complements Open File 8359 on the heavy mineral assemblage on Flemish Cap. Granules on the central shoals appear to be derived from outcropping Avalonian basement; those to the east and west are predominantly ice-rafted in origin. These data improve our understa
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Du, Li-Jen. Segmentation of Synthetic Aperture Radar (SAR) Images of Ocean Surface by the Texture Energy Transform Method. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199536.

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Głąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.

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The project aims to develop a prototype device for determining the texture of soils and mineral deposits. The innovation of the designed solution consists in a significant reduction in the time of composition analysis with the possibility of any division into granulometric groups and the complete automation of the measurement from the moment the sample is introduced into the apparatus until the result is obtained. As part of the project, industrial research and experimental development are planned to be divided into the following stages: 1. Development of the measuring system. 2. Development o
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