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Handbook of Mathematical Models in Computer Vision, Paragios Nikos, Chen Yunmei, Faugeras Olivier



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Цена: 19304р.
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Склад Англия: 626 шт.  Склад Америка: 96 шт.  
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Автор: Paragios Nikos, Chen Yunmei, Faugeras Olivier
Название:  Handbook of Mathematical Models in Computer Vision
Перевод названия: Никос Параджис: Руководство по математическим моделям машинного зрения
ISBN: 9780387263717
Издательство: Springer
Классификация:
ISBN-10: 0387263713
Обложка/Формат: Hardback
Страницы: 638
Вес: 1.056 кг.
Дата издания: 16.12.2005
Язык: English
Иллюстрации: 210 black & white illustrations, 144 black & white
Размер: 244 x 167 x 42
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Дополнительное описание: Формат: 235x155
Илюстрации: 210
Круг читателей: Researchers, practitioners, advanced-level students in computer vision, imaging and graphics
Ключевые слова: diffusion filters
wavelets
image restoration
surface inpainting
geometrical optics
model fitting algorithm
variational segmentation
curve propagation
shape modeling
diffeomorphic point matching
image registration
optical flow estimation
image warping
image alignment
visual tracking
modeling dynamic scenes
differential geometry
image calibration
Язык: eng
Оглавление: Image Reconstruction.- Diffusion Filters and Wavelets.- Total Variation Image Restoration.- PDE-Based Image and Surface Inpainting.- Boundary Extraction, Segmentation and Grouping.- Theories and Applications of Graph Cuts in Vision and Graphics.- Minimal Paths and Fast Marching Methods for Image Analysis.- Integrating Shape and Texture in Deformable Models.- Variational Segmentation with Shape Priors.- Curve Propogation, Level Set Methods and Grouping.- Shape Modeling and Registration.- Invariant Processing and Occlusion Resistant Recognition of Planar Shapes.- Planar Shape Analysis and Its Applications in Image-Based Inferences.- Diffeomorphic Point Matching.- Uncertainty-Driven, Point-Based Image Registration.- Motion Analysis, Optical Flow and Tracking.- Optical Flow Estimation.- Image Alignment and Stitching.- Visual Tracking.- Shape Gradient for Image and Video Segmentation.- Model-Based Human Motion Capture.- Modeling Dynamic Scenes.- 3D from Images, Projective Geometry and Stereo Reconstruction.- Differential Geometry from the Frenet Point of View.- Shape from Shading.- Calibration, Motion and Shape Recovery from 3D Image Sequences.- Multi-view Recontruction of Static and Dynamic Scenes.- Medical Image Analysis.- Interactive Graph-Based Segmentation Methods in Cardiovascular Imaging.- Segmentation of Diffusion Tensor Images.- Statistical Methods of Medical Image Registration.





Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8495 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analysis in metric spaces, differential calculus, comparative statics, convexity, static optimization, dynamical systems and dynamic optimization. The book includes a large number of applications to standard economic models and over two hundred fully worked-out problems.

Handbook of Geometric Computing / Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics

Автор: Bayro Corrochano Eduardo
Название: Handbook of Geometric Computing / Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics
ISBN: 3540205950 ISBN-13(EAN): 9783540205951
Издательство: Springer
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Цена: 34007 р.
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Описание: Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces. This handbook brings together the most recent advances in the application of geometric computing for building such systems, with contributions from leading experts in the important fields of neuroscience, neural networks, image processing, pattern recognition, computer vision, uncertainty in geometric computations, conformal computational geometry, computer graphics and visualization, medical imagery, geometry and robotics, and reaching and motion planning. For the first time, the various methods are presented in a comprehensive, unified manner.This handbook is highly recommended for postgraduate students and researchers working on applications such as automated learning; geometric and fuzzy reasoning; human-like artificial vision; tele-operation; space maneuvering; haptics; rescue robots; man-machine interfaces; tele-immersion; computer- and robotics-aided neurosurgery or orthopedics; the assembly and design of humanoids; and systems for metalevel reasoning.

Mathematical Models in Natural Science and Engineering / An Example-Based Approach

Автор: Neimark Juri I., Kogan M.M., Gloumov V.
Название: Mathematical Models in Natural Science and Engineering / An Example-Based Approach
ISBN: 3540436804 ISBN-13(EAN): 9783540436805
Издательство: Springer
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Цена: 32669 р.
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Описание: This book helps the reader become familiar with various mathematical models for mechanical, electrical, physical, atronomical, chemical, biological, ecological, cybernetical and other systems and processes. The models examined are evolutionary models, i.e. the models of time-varying processes known as dynamic systems, such as fluid flow, biological processes, oscillations in mechanical and electromagnetic systems, and social systems. The book shows readers how to identify appropriate situations for modelling, how to address difficulties in creating models, and how to learn what mathematics teaches us about the modelling of dynamical phenomena in our surrounding world. It is interesting for a wide spectrum of readers, students of natural science and engineering, and also for researchers in these fields.

Physics with MAPLE: The Computer Algebra Resource for Mathematical Methods in Physics

Автор: Frank Y. Wang
Название: Physics with MAPLE: The Computer Algebra Resource for Mathematical Methods in Physics
ISBN: 3527406409 ISBN-13(EAN): 9783527406401
Издательство: Wiley
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Цена: 10890 р.
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Описание: Written by an experienced physicist, who is active in applying computer algebra to relativistic astrophysics and education, this is the resource for mathematical methods in physics using MAPLE. Through in-depth problems from core courses in the physics curriculum, the author guides students to apply analytical and numerical techniques in mathematical physics, and present the results in interactive graphics. Around 180 simulating exercises are included to facilitate learning by examples. This book is a must-have for students of physics, electrical and mechanical engineering, materials scientists, lecturers in physics, and university libraries. Solutions manual is available from the publisher.

Handbook of Mathematical Relations in Particulate Materials Processing

Автор: German
Название: Handbook of Mathematical Relations in Particulate Materials Processing
ISBN: 0470173645 ISBN-13(EAN): 9780470173640
Издательство: Wiley
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Цена: 23051 р.
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Описание: This is a handbook on the mathematical relations for data analysis, modeling, and computer simulation customized to the particulate materials fields - powder metallurgy, ceramics, cemented carbides, refractory metals, and hard materials.  It will provide many short, quick hit segments, each approximately one page in length. The book will provide users with the relevant mathematical relations needed to model behavior, generate computer simulations, analyze experiment data, or to quantify physical and chemical phenomena commonly found in particulate materials processing. It will go beyond the traditional barriers of only one material class by covering the major areas in ceramics, cemented carbides, powder metallurgy, and particulate materials. In many cases, the governing equations are the same but the terms are material specific. To rise above these differences (due to chemistry, but similar in processing), the authors will assemble the basic mathematics around the following topical structure:  (1) powder technology relations such as encountered in atomization, milling, powder production, powder characterization, mixing, particle packing, and powder testing, (2) powder processing such as uniaxial compaction, injection molding, slurry and paste shaping techniques, polymer pyrolysis, sintering, hot isostatic pressing, forging, with accompanying relations associated with microstructure development and microstructure coarsening, (3) finishing operations such as surface treatments, heat treatments, microstructure analysis, material testing, data analysis (such as distribution fitting), and structure-property relations.

Mathematical and Computer Programming Techniques for Computer Graphics

Автор: Comninos Peter
Название: Mathematical and Computer Programming Techniques for Computer Graphics
ISBN: 1852339020 ISBN-13(EAN): 9781852339029
Издательство: Springer
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Цена: 23016 р.
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Описание: Demystifies the often-complex mathematics used in the creation of 2D and 3D computer graphics. Using code examples, this book encourages the reader to explore and experiment with data and computer programs (in the C programming language) and to master the related mathematical techniques.

Handbook of Mathematical Fluid Dynamics,1

Автор: S. Friedlander
Название: Handbook of Mathematical Fluid Dynamics,1
ISBN: 0444503307 ISBN-13(EAN): 9780444503305
Издательство: Elsevier Science
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Цена: 35640 р.
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Описание: The articles that comprise this volume address a range of topics that concern mathematical fluid dynamics including: the Boltzman equation, collisional kinetic theory, viscous heat conducting compressible fluids and dynamic flows in liquids and vapours.

Handbook of Applied Multivariate Statistics and Mathematical Mode

Автор: Howard E.A. Tinsley
Название: Handbook of Applied Multivariate Statistics and Mathematical Mode
ISBN: 0126913609 ISBN-13(EAN): 9780126913606
Издательство: Elsevier Science
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Цена: 31928 р.
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Описание: This handbook explains the appropriate uses of multivariate procedures and mathematical modelling techniques, and prescribes practices that should enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis.

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: 13613 р.
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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.

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis / ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers

Автор: Sonka Milan, Kakadiaris Ioannis A., Kybic Jan
Название: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis / ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers
ISBN: 3540226753 ISBN-13(EAN): 9783540226758
Издательство: Springer
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Цена: 14106 р.
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Описание: This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004, and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic, in May 2004 as part of EECV 2004.The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications.

Mathematical Methods in Computer Vision

Автор: Olver Peter J., Tannenbaum Allen
Название: Mathematical Methods in Computer Vision
ISBN: 0387004971 ISBN-13(EAN): 9780387004976
Издательство: Springer
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Цена: 19304 р.
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Описание: This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objectsГ№including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories.Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area. Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction.A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others.

Mathematical Foundations of Computer Science 2003 / 28th International Symposium, MFCS 2003, Bratislava, Slovakia, August 25-29, 2003, Proceedings

Автор: Rovan Branislav, Vojtas Peter
Название: Mathematical Foundations of Computer Science 2003 / 28th International Symposium, MFCS 2003, Bratislava, Slovakia, August 25-29, 2003, Proceedings
ISBN: 3540406719 ISBN-13(EAN): 9783540406716
Издательство: Springer
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Цена: 17076 р.
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Описание: This book constitutes the refereed proceedings of the 28th International Symposium on Mathematical Foundations of Computer Science, MFCS 2003, held in Bratislava, Slovakia in August 2003.The 55 revised full papers presented together with 7 invited papers were carefully reviewed and selected from 137 submissions. All current aspects in theoretical computer science are addressed, ranging from discrete mathematics, combinatorial optimization, graph theory, networking, algorithms, and complexity to programming theory, formal methods, and mathematical logic.


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