Image Analysis and Processing – ICIAP 2019

Image Analysis and Processing – ICIAP 2019 PDF Author: Elisa Ricci
Publisher: Springer Nature
ISBN: 3030306453
Category : Computers
Languages : en
Pages : 787

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Book Description
The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Image Analysis and Processing – ICIAP 2019

Image Analysis and Processing – ICIAP 2019 PDF Author: Elisa Ricci
Publisher: Springer Nature
ISBN: 3030306453
Category : Computers
Languages : en
Pages : 787

Get Book Here

Book Description
The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Image Analysis and Processing – ICIAP 2019

Image Analysis and Processing – ICIAP 2019 PDF Author: Elisa Ricci
Publisher: Springer Nature
ISBN: 3030306429
Category : Computers
Languages : en
Pages : 582

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Book Description
The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Image Analysis and Processing - ICIAP 2019

Image Analysis and Processing - ICIAP 2019 PDF Author: Elisa Ricci (Computer scientist)
Publisher:
ISBN: 9783030306434
Category : Artificial intelligence
Languages : en
Pages : 561

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Book Description
The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage. --

Image Analysis and Processing - ICIAP 2019

Image Analysis and Processing - ICIAP 2019 PDF Author: Elisa Ricci (Computer scientist)
Publisher:
ISBN: 9783030306465
Category : Artificial intelligence
Languages : en
Pages : 769

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Book Description
The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage. --

New Trends in Image Analysis and Processing – ICIAP 2019

New Trends in Image Analysis and Processing – ICIAP 2019 PDF Author: Marco Cristani
Publisher: Springer Nature
ISBN: 3030307549
Category : Computers
Languages : en
Pages : 413

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Book Description
This book constitutes the refereed proceedings of five workshops and an industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019, in Trento, Italy, in September 2019: Second International Workshop on Recent Advances in Digital Security: Biometrics and Forensics (BioFor 2019); First International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2019); First International Workshop eHealth in the Big Data and Deep Learning Era (e-BADLE 2019); International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments (DEEPRETAIL 2019); Industrial Session.

Document Analysis and Recognition - ICDAR 2023

Document Analysis and Recognition - ICDAR 2023 PDF Author: Gernot A. Fink
Publisher: Springer Nature
ISBN: 3031417348
Category : Computers
Languages : en
Pages : 568

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Book Description
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.

Document Layout Analysis

Document Layout Analysis PDF Author: Showmik Bhowmik
Publisher: Springer Nature
ISBN: 9819942772
Category : Computers
Languages : en
Pages : 92

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Book Description
Document layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of document image processing, DLA was not considered as a complete and complex research problem, rather just a pre-processing step having some minor challenges. The main reason for that is the type of layout being considered for processing was simple. Researchers started paying attention to this complex problem as they come across a large variety of documents. This book presents a clear view of the past, present, and future of DLA, and it also discusses two recent methods developed to address the said problem.

Photogrammetry for Archaeological Objects

Photogrammetry for Archaeological Objects PDF Author: Madeline G.P. Robinson
Publisher: Sydney University Press
ISBN: 1743329857
Category : Photography
Languages : en
Pages : 302

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Book Description
Photogrammetry is the process of obtaining digital three-dimensional models of objects, features, or landscapes from a series of overlapping, focused, and well-exposed two-dimensional photographs. Photogrammetry is becoming standard practice for archaeological analysis, especially since a digital camera now features consistently in an archaeologist’s tool kit. An archaeological career, however, does not traditionally involve becoming an expert in photography. Photogrammetry for Archaeological Objects: A Manual explains in simple, easy-to-follow steps all the essential elements of photography, how to design a controlled photography setup, how to shoot in an uncontrolled environment, and how to edit your images so you can develop your proficiency in photography and by extension, photogrammetry. This guide will provide you with a comprehensive introduction to the process of setting up your camera for photogrammetry shooting, the necessary camera positions required to completely capture your artefacts, and how to use these images captured to process and edit your photogrammetry models. With the aid of 11 different case studies of a variety of archaeological objects, you can develop your understanding of how to approach different archaeological material for modelling purposes; what camera gear and shooting environment is the most suitable, and what camera angles are suitable to correctly capture your object. Photogrammetry for Archaeological Objects is your go-to guide for building successful and usable 3D photogrammetry models of archaeological material that can be used for analysis, conservation, and educational purposes.

Computer Vision in the Infrared Spectrum

Computer Vision in the Infrared Spectrum PDF Author: Michael Teutsch
Publisher: Springer Nature
ISBN: 3031018265
Category : Computers
Languages : en
Pages : 128

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Book Description
Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.

Advanced Methods for Interpreting Geological and Geophysical Data

Advanced Methods for Interpreting Geological and Geophysical Data PDF Author: Ahmed M. Eldosouky
Publisher: Frontiers Media SA
ISBN: 2832551505
Category : Science
Languages : en
Pages : 500

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Book Description
The introduction and application of advanced geological and geophysical methods can solve many problems related to geoscience. This Research Topic gives a thorough treatment of the interpretation of geological and geophysical data through advanced techniques and integrated approaches. It aims to create a more reliable integration of various geological and geophysical data in an exploration and new findings context weighing the strengths and limitations of the various methods in order to develop geophysical and geological models. It will also focus on the interpretation techniques for evaluating structural and sedimentological (stratigraphical) processes with applications within resource exploration, geohazards, seismology, seabed ecology and global climate.