Suchergebnisse - ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric*
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Quelle: ISSN: 0350-3593 ; Glasnik Srpskog Geografskog Drustva ; https://hal.archives-ouvertes.fr/hal-03093633 ; Glasnik Srpskog Geografskog Drustva, 2021, 100 (2), pp.1-23. ⟨10.2298/GSGD2002001L⟩ ; http://glasniksgd.rs/index.php/home/article/view/723.
Schlagwörter: Submarine Geomorphology, GMT, Sunda Trench, Indian Ocean, geology, cartography, mapping, earthquake, tectonics, geomorphology, ACM: H.: Information Systems, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.1: Simulation Theory, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.2: Graphics Systems, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.4: Languages, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [SDE]Environmental Sciences, [SDE.IE]Environmental Sciences/Environmental Engineering
Relation: hal-03093633; https://hal.archives-ouvertes.fr/hal-03093633; https://hal.archives-ouvertes.fr/hal-03093633/document; https://hal.archives-ouvertes.fr/hal-03093633/file/723-1017-1-PB.pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Actual Problems of the Conservation and Development of the Biological Resources ; https://hal.archives-ouvertes.fr/hal-02017855 ; Actual Problems of the Conservation and Development of the Biological Resources, Ural State Agrarian University (UrGAU), Feb 2015, Yekaterinburg, Russia. pp.226-229, ⟨10.6084/m9.figshare.7211804⟩
Schlagwörter: Environmental Assessment, Environmental Change, Environmental Geology, Environmental monitoring and policies, Image processing Digital image processing, Image processing Pattern recognition, Image processing Image recognition, Landsat TM, Landsat TM and ETM images, Landsat TM and ETM data, Landsat TM 5 TIR, Satellite image analysis, Satellite image interpretation, Satellite image time series, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.5: Smoothing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.4: Sharpening and deblurring, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.7: Shading
Geographisches Schlagwort: Yekaterinburg, Russia
Relation: https://hal.archives-ouvertes.fr/hal-02017855/file/Lemenkova_Yekat_paper02_2015.pdf; https://hal.archives-ouvertes.fr/hal-02017855
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Quelle: Proceedings of 5th International Research Conference, Belarus State University (BSU) ; Modern Problems of Geoecology and Landscapes Studies ; https://hal.archives-ouvertes.fr/hal-02000858 ; Modern Problems of Geoecology and Landscapes Studies, Belarus State University (BSU), Oct 2014, Minsk, Belarus. pp.74-76, ⟨10.6084/m9.figshare.7211870⟩ ; https://geo.bsu.by/index.php/nauka/konferentsii/370-sovremennye-problemy-landshaftovedeniya-i-geoekologii.html
Schlagwörter: GIS Climat Environnement Société, GIS & Spatial Analyses, Remote sensing and GIS, Image processing Pattern recognition, Raster images, Clustering Analysis, Clustering Algorithms, Clustering, Clustering Algorithm, GIS Data Modelling, Landsat Imagery, Landsat 7 ETM+, Landsat ETM+, Image processing, Image processing Digital image processing, SIG Systèmes d'information géographique, SIG et modélisation spatiale, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.5: Smoothing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis
Relation: hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858/document; https://hal.archives-ouvertes.fr/hal-02000858/file/Lemenkova_Minsk2014.pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: CVPR - Computer Vision and Patern Recognition - 2012 ; https://inria.hal.science/hal-00677506 ; CVPR - Computer Vision and Patern Recognition - 2012, Jun 2012, Providence, United States. pp.190-197, ⟨10.1109/CVPR.2012.6247675⟩
Schlagwörter: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Geographisches Schlagwort: Providence, United States
Time: Providence, United States
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Quelle: Perspectives for the Development of Higher Education ; https://hal.science/hal-01972865 ; Perspectives for the Development of Higher Education, Grodno State Agrarian University GGAU, Apr 2014, Grodno, Belarus. pp.284-286, ⟨10.6084/m9.figshare.7211933⟩
Schlagwörter: Land cover and land use changes, Land Cover Mapping, Environmental Assessment, Landscape analysis, Mapping, GIS & Spatial Analyses, Geoinformatics, Geoinformation, Estonia, CORINE LAND COVER, CORINE biotopes, CORINE land-use, Satellite image interpretation, Satellite image analysis, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Relation: https://hal.science/hal-01972865/file/Lemenkova_Grodno2014.pdf; https://hal.science/hal-01972865
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Quelle: IEEE Transactions on Cybernetics. 44:2443-2457
Schlagwörter: ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, Biometry, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, Video Recording, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 4-D data, expression recognition, Hidden Markov model, random forest, Riemannian geometry, temporal analysis, Reproducibility of Results, 02 engineering and technology, 15. Life on land, Image Enhancement, Sensitivity and Specificity, Pattern Recognition, Automated, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Facial Expression, Imaging, Three-Dimensional, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Artificial Intelligence, Face, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Algorithms
Dateibeschreibung: application/pdf
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Schlagwörter: Categories and Subject Descriptors, H.3.3 [Information Storage and Retrieval, Information Search and Retrieval—Retrieval models, selection process, I.2.10 [Computing Methodologies, Vision and Scene Understanding—Shape, I.3.5 [Computer Graphics, Computational Geometry and Object Modeling—Curve, surface, solid, and object representations, geometric algorithms, languages, and systems, object hierarchies, I.3.7 [Computer Graphics, Three-Dimensional Graphics and Realism, I.3.8 [Computer Graphics, Applications General Terms, Algorithms, Design, Performance ACM Reference Format
Dateibeschreibung: application/pdf
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Quelle: MIIRH - 1st ACM MM Workshop on Multimedia Indexing and information Retrieval for Healthcare - 2013 ; https://inria.hal.science/hal-00907033 ; MIIRH - 1st ACM MM Workshop on Multimedia Indexing and information Retrieval for Healthcare - 2013, Oct 2013, Barcelona, Spain. pp.15-22, ⟨10.1145/2505323.2505329⟩
Schlagwörter: Sensor Reliability, Multi-sensor Fusion, Event Recognition, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Geographisches Schlagwort: Spain
Time: Barcelona, Spain
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Quelle: ISSN: 2168-2267 ; IEEE Transactions on Cybernetics ; https://hal.science/hal-00949002 ; IEEE Transactions on Cybernetics, 2014, 44 (12), pp.2443-2457.
Schlagwörter: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
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Quelle: https://inria.hal.science/tel-01754699 ; Imagerie médicale. Université de Lorraine, 2018.
Schlagwörter: Computer vision, medical imaging, registration, 3D reconstruction, geometric modeling, data acquisition systems, computer simulation, modélisation géométrique, simulation informatique, validation, systèmes d’acquisition de données, segmentation, reconstruction 3D, Vision par ordinateur, imagerie médicale, recalage, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
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Quelle: https://hal.inria.fr/tel-01212781 ; Graphics [cs.GR]. Telecom ParisTech, 2015. English. ⟨NNT : 2015-ENST-0035⟩.
Schlagwörter: garment design, quadrangular mesh, sketching, 2D shape descriptor, dynamic programming, sketch-based 3D object retrieval, modélisation de vêtements, maillage quadrangulaire, modélisation par croquis, descripteur de forme 2D, programmation dynamique, recherche de modèles 3D par croquis, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: NNT: 2015-ENST-0035; tel-01212781; https://hal.inria.fr/tel-01212781; https://hal.inria.fr/tel-01212781/document; https://hal.inria.fr/tel-01212781/file/ThesisZYasseen_ParisTechFormat.pdf
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Quelle: IEEE Transactions on Visualization and Computer Graphics. 24:2238-2250
Schlagwörter: Computational Geometry (cs.CG), FOS: Computer and information sciences, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, Shape similarity, [MATH] Mathematics [math], 02 engineering and technology, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], and object representations, Graphics (cs.GR), [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Graphics, Local shape descriptor, [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], solid, Point set denoising and resampling, 0202 electrical engineering, electronic engineering, information engineering, surface, Computer Science - Computational Geometry, 68U05, 97R60, [MATH]Mathematics [math]
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/pdf/1612.02261
https://pubmed.ncbi.nlm.nih.gov/28650818
http://arxiv.org/abs/1612.02261
https://hal.archives-ouvertes.fr/hal-01547820/document
https://hal.archives-ouvertes.fr/hal-01547820v1
http://ui.adsabs.harvard.edu/abs/2016arXiv161202261D/abstract
https://pubmed.ncbi.nlm.nih.gov/28650818/
https://ieeexplore.ieee.org/document/7956272/
https://halshs.archives-ouvertes.fr/LABEXIMU/hal-01547820v1 -
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Quelle: CORESA - COmpression et REprésentation des Signaux Audiovisuels - 2012 ; https://inria.hal.science/hal-00683549 ; CORESA - COmpression et REprésentation des Signaux Audiovisuels - 2012, Mohamed Daoudi, May 2012, Lille, France
Schlagwörter: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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Quelle: Seventh International Workshop on Graphics Recognition - GREC'2007 ; https://inria.hal.science/inria-00184880 ; Seventh International Workshop on Graphics Recognition - GREC'2007, IAPR TC-10 (Technical Committee on Graphics Recognition), Sep 2007, Curitiba, Brazil. 11 p
Schlagwörter: technical drawings, graphic recognition, vector representation, inexact graph matching, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.0: Feature representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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Quelle: 2018 IEEE International Conference on Industrial Technology (ICIT)
https://hal.science/hal-01995293
2018 IEEE International Conference on Industrial Technology (ICIT), IEEE IES, Lyon 1 University, Ampère Lab, Satie Lab, Feb 2018, Lyon, France. pp.1514-1519, ⟨10.1109/ICIT.2018.8352405⟩
http://www.icit2018.orgSchlagwörter: Discrete Modal Decomposition, Generative Adversarial Networks, Quality prediction, Thermography, Injection molding, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.1: Applications and Expert Systems/I.2.1.2: Industrial automation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Relation: info:eu-repo/semantics/altIdentifier/arxiv/1901.10178; ARXIV: 1901.10178
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Quelle: Foundations & Trends in Signal Processing; 2009, Vol. 3 Issue 1/2, p1-151, 151p, 18 Color Photographs, 6 Black and White Photographs, 16 Diagrams, 6 Charts, 10 Graphs
Schlagwörter: STATISTICS, PATTERN recognition systems, COMPUTER vision, IMAGE processing, GEOMETRIC analysis, ALGORITHMS
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Quelle: ISSN: 0031-3203 ; Pattern Recognition ; https://inria.hal.science/hal-01356174 ; Pattern Recognition, 2016, 57, ⟨10.1016/j.patcog.2016.03.022⟩.
Schlagwörter: Dynamic Programming, Shape descriptors, shape matching, salient features, ordered part correspondence, Chordal Axis Transform, dynamic 2D shape segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.0: Feature representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling/I.3.5.2: Curve, surface, solid, and object representations, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Relation: hal-01356174; https://inria.hal.science/hal-01356174; https://inria.hal.science/hal-01356174/document; https://inria.hal.science/hal-01356174/file/Shape%20Correspondence2.pdf
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Weitere Verfasser: et al.
Quelle: Reality - the Sum of Information Technologies ; https://hal.archives-ouvertes.fr/hal-01974739 ; Reality - the Sum of Information Technologies, South West State University (YuZGU), Dec 2015, Kursk, Russia. pp.100-104, ⟨10.6084/m9.figshare.7210346⟩ ; https://elibrary.ru/item.asp?id=25489451
Schlagwörter: Image classification, Satellite image interpretation, Landsat TM and ETM data, Landsat Imagery, Land cover mapping, GIS & Spatial Analyses, Image segmentation, Mapping Modeling, SIG Raster, SIG et modélisation spatiale, SIG Systèmes d'information géographique, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical
Relation: hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739/document; https://hal.archives-ouvertes.fr/hal-01974739/file/Lemenkova_Techn_Approach.pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment ; https://inria.hal.science/inria-00481535 ; Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan
Schlagwörter: manifold learning, shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.4: Statistical, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Time: Kyoto, Japan
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Autoren:
Weitere Verfasser:
Quelle: Informatics. Problems, Methodology, Technologies ; https://hal.archives-ouvertes.fr/cel-01991382 ; Informatics. Problems, Methodology, Technologies, Feb 2015, Voronezh, Russia. pp.29, ⟨10.6084/m9.figshare.7434584.v1⟩
Schlagwörter: Spatial analysis, GIS Data Modelling, GIS Geographic Information System, Image analysis and processing, Image analysis, Image classification, Landsat Imagery, Landsat 7 ETM+, Image processing Pattern recognition, Image processing Image recognition, Image processing Digital image processing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation/I.5.5.1: Special architectures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration
Relation: cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382/document; https://hal.archives-ouvertes.fr/cel-01991382/file/Lemenkova_present_Voronezh022015.pdf
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