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

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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

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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.

Proceedings, 12th International Conference on Image Analysis and Processing

Proceedings, 12th International Conference on Image Analysis and Processing
Title Proceedings, 12th International Conference on Image Analysis and Processing PDF eBook
Author
Publisher Institute of Electrical & Electronics Engineers(IEEE)
Pages 714
Release 2003
Genre Computers
ISBN 9780769519487

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The organization of the ICIAP 2003 proceedings reflects the main topics of the Conference: shape analysis and reconstruction, 3D models, early vision and image analysis, pattern recognition and image inference, visual processing for communication and various application domains. The major topics discussed in the text are on use of image analysis and processing techniques and tools both in standard application environments and in the new scenario of internet based delivery of information.

Image Analysis and Processing

Image Analysis and Processing
Title Image Analysis and Processing PDF eBook
Author Alberto del Bimbo
Publisher Springer
Pages 760
Release 1997-09-03
Genre Computers
ISBN 9783540635079

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This book is part of the refereed 2-volume proceedings of the 9th International Conference on Image Analysis and Processing, ICIAP'97, held in Florence, Italy, September 1997. Both volumes together present several keynote contributions and 173 revised papers selected from over 300 submissions. The contributing authors (more than 400 in number) provide a wealth of new results in the areas of image analysis, pattern recognition and computer vision. Among the basic topics covered are image enhancement, image segmentation, image compression, motion analysis, object recognition, image understanding, and special hardware architectures and systems, etc. Among the application areas covered are biomedical imaging, character recognition, safety and surveillance, object identification, etc.

ICMIT 2005

ICMIT 2005
Title ICMIT 2005 PDF eBook
Author Yunlong Wei
Publisher SPIE-International Society for Optical Engineering
Pages 574
Release 2005
Genre Technology & Engineering
ISBN

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Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.

Vision

Vision
Title Vision PDF eBook
Author David Marr
Publisher MIT Press
Pages 429
Release 2010-07-09
Genre Psychology
ISBN 0262514621

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Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.