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Riemannian Computing in Computer Vision, Pavan K. Turaga; Anuj Srivastava


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Автор: Pavan K. Turaga; Anuj Srivastava
Название:  Riemannian Computing in Computer Vision
ISBN: 9783319229560
Издательство: Springer
Классификация:



ISBN-10: 3319229567
Обложка/Формат: Hardcover
Страницы: 397
Вес: 0.76 кг.
Дата издания: 18.11.2015
Язык: English
Иллюстрации: 22 black & white illustrations, 66 colour illustrations, 16 black & white tables, biography
Размер: 234 x 156 x 22
Читательская аудитория: Professional & vocational
Основная тема: Signal, Image and Speech Processing
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion.

Riemannian Geometry and Geometric Analysis

Автор: J?rgen Jost
Название: Riemannian Geometry and Geometric Analysis
ISBN: 3319618598 ISBN-13(EAN): 9783319618593
Издательство: Springer
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Цена: 79190.00 T
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Описание: This established reference work continues to introduce its readers to some of the hottest topics in contemporary mathematical research. This sixth edition includes, among other new additions, a systematic treatment of eigenvalues of Riemannian manifolds.

Handbook of Mathematical Models in Computer Vision

Автор: Paragios Nikos, Chen Yunmei, Faugeras Olivier
Название: Handbook of Mathematical Models in Computer Vision
ISBN: 0387263713 ISBN-13(EAN): 9780387263717
Издательство: Springer
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Цена: 121110.00 T
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Описание: This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics.  Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis.Handbook of Mathematical Models in Computer Vision provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals.

Riemannian Computing in Computer Vision

Автор: Pavan K. Turaga; Anuj Srivastava
Название: Riemannian Computing in Computer Vision
ISBN: 3319360957 ISBN-13(EAN): 9783319360959
Издательство: Springer
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Цена: 113180.00 T
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Описание: This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion.

Introduction to Riemannian Geometry

Автор: Godinho Leonor
Название: Introduction to Riemannian Geometry
ISBN: 3319086650 ISBN-13(EAN): 9783319086651
Издательство: Springer
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Цена: 65210.00 T
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Описание: Unlike many other texts on differential geometry, this textbook also offers interesting applications to geometric mechanics and general relativity.The first part is a concise and self-contained introduction to the basics of manifolds, differential forms, metrics and curvature.

Riemannian Submersions, Riemannian Maps in Hermitian Geometry, an

Автор: Sahin, Bayram
Название: Riemannian Submersions, Riemannian Maps in Hermitian Geometry, an
ISBN: 0128043911 ISBN-13(EAN): 9780128043912
Издательство: Elsevier Science
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Цена: 78040.00 T
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Описание: Riemannian Submersions, Riemannian Maps in Hermitian Geometry, and their Applications is a rich and self-contained exposition of recent developments in Riemannian submersions and maps relevant to complex geometry, focusing particularly on novel submersions, Hermitian manifolds, and K\{a}hlerian manifolds. Riemannian submersions have long been an effective tool to obtain new manifolds and compare certain manifolds within differential geometry. For complex cases, only holomorphic submersions function appropriately, as discussed at length in Falcitelli, Ianus and Pastore’s classic 2004 book. . In this new book, Bayram Sahin extends the scope of complex cases with wholly new submersion types, including Anti-invariant submersions, Semi-invariant submersions, slant submersions, and Pointwise slant submersions, also extending their use in Riemannian maps. . The work obtains new properties of the domain and target manifolds and investigates the harmonicity and geodesicity conditions for such maps. It also relates these maps with discoveries in pseudo-harmonic maps. Results included in this volume should stimulate future research on Riemannian submersions and Riemannian maps.

Multiple View Geometry in Computer Vision

Автор: Hartley, Zisserman
Название: Multiple View Geometry in Computer Vision
ISBN: 0521540518 ISBN-13(EAN): 9780521540513
Издательство: Cambridge Academ
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Цена: 91860.00 T
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Описание: The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Автор: Ourselin
Название: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
ISBN: 3319467220 ISBN-13(EAN): 9783319467221
Издательство: Springer
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Цена: 76400.00 T
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Описание: The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.

Medical Image Computing and Computer-Assisted Intervention –  MICCAI 2016

Автор: Ourselin
Название: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
ISBN: 3319467190 ISBN-13(EAN): 9783319467191
Издательство: Springer
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Цена: 76400.00 T
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Описание: The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis; brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.


Algorithms for Image Processing and Computer Vision

Автор: Parker J J
Название: Algorithms for Image Processing and Computer Vision
ISBN: 0470643854 ISBN-13(EAN): 9780470643853
Издательство: Wiley
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Цена: 83430.00 T
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Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.

Analysis for Diffusion Processes on Riemannian Manifolds

Автор: Wang Feng Yu
Название: Analysis for Diffusion Processes on Riemannian Manifolds
ISBN: 9814452645 ISBN-13(EAN): 9789814452649
Издательство: World Scientific Publishing
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Цена: 132000.00 T
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Описание: Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion processes and sub-elliptic diffusion processes is far from complete. This book contains recent advances in this direction along with new ideas and efficient arguments, which are crucial for further developments. Many results contained here (for example, the formula of the curvature using derivatives of the semigroup) are new among existing monographs even in the case without boundary.


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