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检索条件"任意字段=27th International Conference on Computer Graphics and Vision, GraphiCon 2017"

共 86 条记录，以下是51-60 订阅

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Alignment of Point Clouds for Comparison of Infrastructures in Civil Engineering on Quality Control in Metrology 27

Alignment of Point Clouds for Comparison of Infrastructures ...

引用

27th international conference in Central Europe on computer graphics, Visualization and computer vision, WSCG 2019

作者： Haddad, Hadi Khaksari Laurendeau, Denis Computer Vision and Systems lab Department of Electrical and Computer Engineering Laval University Quebec city Canada

ISBN: (纸本)9788086943374

For 3D point cloud registration, Go-ICP [Yang et al., 2016] has been shown to obtain the global optimal solution for a pair composed of a model point cloud and a data point cloud. Go-ICP mostly has been investigated only on standard sets of point clouds. In this paper, we demonstrate the remarkable efficacy of Go-ICP for the alignment of very complex large-scale point clouds to their corresponding deformed CAD models. In particular, given two distinct sets of point clouds taken from the exterior and the interior of a building, experiments demonstrate that Go-ICP is able to successfully align both of these sets to the point cloud of the CAD model of the whole building (both exterior and interior information included). With the experimentation presented in this paper, we demonstrate that Go-ICP can achieve excellent alignment results and that this approach can be deployed in applications aiming at comparing CAD models of a building ("as designed" model) to the point cloud of the actual building ("as-built" model). Experiments also demonstrate the efficacy of Go-ICP to align a deformed copy of a man-made object to the original object in quality control applications. © 2019 University of West Bohemia. All rights reserved.

关键词： Alignment

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Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing 27

Should supervised discretisation always be trusted unreserve...

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27th international conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Stanczyk, Urszula Baron, Grzegorz Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

the paper presents a description of the research methodology dedicated to a two-step discretisation process applied to the input numeric data, with combining the characteristics of selected supervised and unsupervised algorithms, which leads to extended processing of some attributes in train and test sets. the methodology was illustrated with the investigations carried out in the domain of stylometric analysis of texts, for two datasets prepared for the task of binary authorship attribution. the several variants of transformed input data obtained were subjected to exploration using two selected machine learning methods capable of inducing knowledge from both continuous and categorical forms, namely the PART and J48 classifiers. the results from the experiments indicate that, as can be expected, supervised transformations of data work well enough, however, they do not always return the best outcome. the two-step processing of some attributes shows sufficient promise to warrant a closer study, as opposed to always unconditionally relying only on supervised algorithms as outperforming all other approaches. © 2023 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Authorship attribution Data representation Pattern recognition Stylometry Supervised discretisation Unsupervised discretisation

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Pattern Recognition. ICPR 2024 international Workshops and Challenges 1

Pattern Recognition. ICPR 2024 International Workshops and C...

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丛书名： Lecture Notes in computer Science

1000年

作者： Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier Prabir Bhattacharya Umapada Pal Saumik Bhattacharya

ISBN: (数字)9783031882203

ISBN: (纸本)9783031882197

this 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 international Workshops and Challenges held under the umbrella of the 27th international conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1–5, 2024. the 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. the 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence

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Pattern Recognition. ICPR 2024 international Workshops and Challenges 1

Pattern Recognition. ICPR 2024 International Workshops and C...

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丛书名： Lecture Notes in computer Science

1000年

作者： Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier Prabir Bhattacharya Umapada Pal Saumik Bhattacharya

ISBN: (数字)9783031882234

ISBN: (纸本)9783031882227

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence

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Linking theory and Practice of Digital Libraries 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Omar Alonso Helena Cousijn Gianmaria Silvello Stefano Marchesin Mónica Marrero Carla Teixeira Lopes

ISBN: (数字)9783031438493

ISBN: (纸本)9783031438486

this book constitutes the refereed proceedings of the 27th international conference on Linking theory and Practice of Digital Libraries, TPDL 2023, held in Zadar, Croatia, during September 26–29, 2023.;the 13 full papers and 17 short papers included in this book were carefully reviewed and selected from 69 submissions. they were organized in topical sections as follows: Applications and digital library systems; data citation and citation analysis; discovering science, monitoring and publishing science; knowledge creation; Human-computer Interaction; digital humanities; and digital cultural heritage.

关键词： computer Applications Coding and Information theory Software Engineering/Programming and Operating Systems Natural Language Processing (NLP) computer Imaging, vision, Pattern Recognition and graphics Signal, Image and Speech Processing

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Pattern Recognition. ICPR 2024 international Workshops and Challenges 1

Pattern Recognition. ICPR 2024 International Workshops and C...

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丛书名： Lecture Notes in computer Science

1000年

作者： Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier Prabir Bhattacharya Umapada Pal Saumik Bhattacharya

ISBN: (数字)9783031876578

ISBN: (纸本)9783031876561

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence

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Pattern Recognition. ICPR 2024 international Workshops and Challenges 1

Pattern Recognition. ICPR 2024 International Workshops and C...

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丛书名： Lecture Notes in computer Science

1000年

作者： Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier Prabir Bhattacharya Umapada Pal Saumik Bhattacharya

ISBN: (数字)9783031876639

ISBN: (纸本)9783031876622

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence

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Pattern Recognition. ICPR 2024 international Workshops and Challenges 1

Pattern Recognition. ICPR 2024 International Workshops and C...

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丛书名： Lecture Notes in computer Science

1000年

作者： Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier Prabir Bhattacharya Umapada Pal Saumik Bhattacharya

ISBN: (数字)9783031876608

ISBN: (纸本)9783031876592

关键词： computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence

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Modern Advances in Applied Intelligence 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Moonis Ali Jeng-Shyang Pan Shyi-Ming Chen Mong-Fong Horng

ISBN: (数字)9783319074559

ISBN: (纸本)9783319074542

the two volume set LNAI 8481 and 8482 constitutes the refereed conference proceedings of the 27th international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, held in Kaohsiung, Taiwan, in June 2014. the total of 106 papers selected for the proceedings were carefully reviewed and selected from various submissions. the papers deal with a wide range of topics from applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace and human-machine interaction.

关键词： Artificial Intelligence Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery computer Imaging, vision, Pattern Recognition and graphics

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Compressed Exposure Sequences for HDR Imaging 27

Compressed Exposure Sequences for HDR Imaging

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27th international conference in Central Europe on computer graphics, Visualization and computer vision, WSCG 2019

作者： Sekmen, Selin Akyüz, Ahmet Oğuz ASELSAN A.Ş Department of Computer Engineering Middle East Technical University Ankara06800 Turkey Department of Computer Engineering Middle East Technical University Ankara06800 Turkey

ISBN: (纸本)9788086943374

High dynamic range (HDR) imaging techniques allow photographers to capture the luminance distribution in the real-world as it is, freeing them from the limitations of capture and display devices. One common approach for creating HDR images is the multiple exposures technique (MET). this technique is preferred by many photographers as multiple exposures can be captured with off-the-shelf digital cameras and later combined into an HDR image. In this study, we propose a storage scheme in order to simplify the maintenance and usability of such sequences. In our scheme, multiple exposures are stored inside a single JPEG file with the main image representing a user-selected reference exposure. Other exposures are not directly stored, but rather their differences with each other and the reference is stored in a compressed manner in the metadata section of the same file. this allows a significant reduction in file size without impacting quality. If necessary the original exposures can be reconstructed from this single JPEG file, which in turn can be used in a standard HDR workflow. © 2019 University of West Bohemia. All rights reserved.

关键词： Metadata

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