Автор: Perwass Christian Название: Geometric Algebra with Applications in Engineering ISBN: 3642100325 ISBN-13(EAN): 9783642100321 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines all aspects essential for a successful application of geometric algebra to engineering-the theoretical foundations, the representation of geometric constraints, and the numerical estimation from uncertain data.
Автор: Hartley, Zisserman Название: Multiple View Geometry in Computer Vision ISBN: 0521540518 ISBN-13(EAN): 9780521540513 Издательство: Cambridge Academ Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Yulia Levakhina Название: Three-Dimensional Digital Tomosynthesis ISBN: 3658056967 ISBN-13(EAN): 9783658056964 Издательство: Springer Рейтинг: Цена: 71730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Yulia Levakhina gives an introduction to the major challenges of image reconstruction in Digital Tomosynthesis (DT), particularly to the connection of the reconstruction problem with the incompleteness of the DT dataset.
Автор: James F. Peters Название: Foundations of Computer Vision ISBN: 331952481X ISBN-13(EAN): 9783319524818 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Basics Leading to Machine Vision.- Working with Pixels.- Visualising Pixel Intensity Distributions.- Linear Filtering.- Edges, Lines, Corners, Gaussian kernel and Voronoп Meshes.- Delaunay Mesh Segmentation.- Video Processing. An Introduction to Real-Time and Offline Video Analysis.- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes.- Postscript. Where Do Shapes fit into the Computer Vision Landscape?.
Автор: Jiming Liu; Laeeque K. Daneshmend Название: Spatial Reasoning and Planning ISBN: 3642623379 ISBN-13(EAN): 9783642623370 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems. After a review of previous work in the related areas, Liu and Daneshmend present a unified framework for qualitative spatial representation and reasoning.
Автор: Jean-Daniel Boissonnat; Monique Teillaud Название: Effective Computational Geometry for Curves and Surfaces ISBN: 3642069878 ISBN-13(EAN): 9783642069871 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers combinatorial data structures and algorithms, algebraic issues in geometric computing, approximation of curves and surfaces, and computational topology. Coverage includes references to open source software and discussion of potential applications of the presented techniques.
Автор: Lindblad Joakim, Malmberg Filip, Sladoje Natasa Название: Discrete Geometry and Mathematical Morphology: First International Joint Conference, Dgmm 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings ISBN: 303076656X ISBN-13(EAN): 9783030766566 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Invited papers.- Some Open Questions on Morphological Operators and Representations in the Deep Learning Era.- Split Trees -A Unifying Model For Many Important Random Trees Of Logarithmic Height: A Brief Survey.- On topological analysis of cells organization in biological images.- Applications in Image Processing, Computer Vision, and Pattern Recognition.- A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation.- Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation.- Automatic forest road extraction from LiDAR data of mountainous areas.- Fast Pattern Spectra using Tree Representation of the Image for Patch Retrieval.- Watershed-based attribute profiles for pixel classification of remote sensing data.- Discrete and Combinatorial Topology.- Completions, perforations and fillings.- Body Centered Cubic Grid --- Coordinate System and Discrete Analytical Plane Definition.- Digital convex + unimodular mapping = almost 4-connected.- Distance-Oriented Surface Skeletonization on the Face-Centered Cubic Grid.- Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes.- Locally turn-bounded curves are quasi-regular.- Discrete Geometry - Models, Transforms, Visualization.-Shear based Bijective Digital Rotation in Hexagonal Grids.- An isometry classification of periodic point sets.- Visiting bijective digitized reflections and rotations using geometric algebra.- Digital Straight Segment Filter for Geometric Description.- An alternative definition for digital convexity.- Digital geometry for the dual of some semi-regular tessellations.- Discrete Tomography and Inverse Problems.- On the geometric aspects of the class of hv-convex switching components.- Properties of unique degree sequences of 3-uniform hypergraphs.- Power sum polynomials in a discrete tomography perspective.-On the reconstruction of 3-uniform hypergraphs from step-two degree sequences.-Hierarchical and Graph-based Models, Analysis and Segmentation.- Towards Interactive Image Segmentation by Dynamic and Iterative Spanning Forest.- Stability of the tree of shapes to additive noise.- An algebraic framework for out-of-core hierarchical segmentation algorithms.-Fuzzy-marker-based segmentation using hierarchies.-Graph-based Supervoxel Computation from Iterative Spanning Forest.- Graph-based M-tortuosity estimation.- A maximum-flow model for digital elastica shape optimization.- Image Segmentation by Relaxed Deep Extreme Cut with Connected Extreme Points.- Learning-based Approaches to Mathematical Morphology.- On some associations between mathematical morphology and artificial intelligence.- Going beyond p-convolutions to learn grayscale morphological operators.- Scale Equivariant Neural Networks with Morphological Scale-Spaces.- Multivariate and PDE-based Mathematical morphology, Morphological Filtering.- Eigenfunctions of Ultrametric Morphological Openings and Closings.- Measuring the Irregularity of Vector-valued Morphological Operators using Wasserstein Metric.- An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D.- Sparse Approximate Solutions to Max-Plus Equations.
Автор: Srecko Brlek; Christophe Reutenauer; Xavier Proven Название: Discrete Geometry for Computer Imagery ISBN: 3642043968 ISBN-13(EAN): 9783642043963 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 15th IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2009, held in Montreal, Canada, in September/October 2009. The papers are organized in topical sections on discrete shape, representation, recognition and analysis;
Автор: Valentin E. Brimkov; Reneta P. Barneva Название: Digital Geometry Algorithms ISBN: 9400799586 ISBN-13(EAN): 9789400799585 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The first publication to explicitly focus on presenting the key algorithms in digital geometry, this book aims to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing.
Автор: Ian H. Jermyn, Sebastian Kurtek, Hamid Laga, Anuj Srivastava Название: Elastic Shape Analysis of Three-Dimensional Objects ISBN: 1681730278 ISBN-13(EAN): 9781681730271 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 76690.00 T Наличие на складе: Невозможна поставка. Описание: Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations.We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape-preserving transformations.The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L² metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities.These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis.This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.
Автор: Rida T Farouki Название: Pythagorean-Hodograph Curves: Algebra and Geometry Inseparable ISBN: 3642092438 ISBN-13(EAN): 9783642092435 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive and self-contained treatment of the mathematical theory of Pythagorean-hodograph curves, including algorithms for their construction and examples of their practical applications.
Автор: Miao Jin; Xianfeng Gu; Ying He; Yalin Wang Название: Conformal Geometry ISBN: 303009202X ISBN-13(EAN): 9783030092023 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective.The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text.The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering.
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