Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2
Title Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 PDF eBook
Author
Publisher North Holland
Pages 704
Release 2019-10-15
Genre Mathematics
ISBN 0444641408

Download Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 Book in PDF, Epub and Kindle

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1
Title Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1 PDF eBook
Author
Publisher Elsevier
Pages 160
Release 2018-11-08
Genre Mathematics
ISBN 0444642064

Download Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1 Book in PDF, Epub and Kindle

Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms. It covers mathematical models as well as fast computational techniques, and includes new chapters on Alternating diffusion: a geometric approach for sensor fusion, Shape Correspondence and Functional Maps, Geometric models for perception-based image processing, Decomposition schemes for nonconvex composite minimization: theory and applications, Low rank matrix recovery: algorithms and theory, Geometry and learning for deformation shape correspondence, and Factoring scene layout from monocular images in presence of occlusion. - Presents a contemporary view on the topic, comprehensively covering the newest developments and content - Provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2
Title Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 PDF eBook
Author
Publisher North Holland
Pages 0
Release 2019-10-15
Genre Mathematics
ISBN 9780444641403

Download Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 Book in PDF, Epub and Kindle

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.

Quantification of Biophysical Parameters in Medical Imaging

Quantification of Biophysical Parameters in Medical Imaging
Title Quantification of Biophysical Parameters in Medical Imaging PDF eBook
Author Ingolf Sack
Publisher Springer Nature
Pages 594
Release
Genre
ISBN 3031618467

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KI 2021: Advances in Artificial Intelligence

KI 2021: Advances in Artificial Intelligence
Title KI 2021: Advances in Artificial Intelligence PDF eBook
Author Stefan Edelkamp
Publisher Springer Nature
Pages 389
Release 2021-09-29
Genre Computers
ISBN 3030876268

Download KI 2021: Advances in Artificial Intelligence Book in PDF, Epub and Kindle

This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.

Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging

Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Title Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging PDF eBook
Author Ke Chen
Publisher Springer Nature
Pages 1981
Release 2023-02-24
Genre Mathematics
ISBN 3030986616

Download Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging Book in PDF, Epub and Kindle

This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.

Image Analysis and Processing – ICIAP 2022

Image Analysis and Processing – ICIAP 2022
Title Image Analysis and Processing – ICIAP 2022 PDF eBook
Author Stan Sclaroff
Publisher Springer Nature
Pages 786
Release 2022-05-16
Genre Computers
ISBN 3031064305

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The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy, The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc.