Автор: Hartley, Zisserman Название: Multiple View Geometry in Computer Vision ISBN: 0521540518 ISBN-13(EAN): 9780521540513 Издательство: Cambridge Academ Рейтинг: Цена: 13779.00 р. 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: Jean-Daniel Boissonnat; Monique Teillaud Название: Effective Computational Geometry for Curves and Surfaces ISBN: 3642069878 ISBN-13(EAN): 9783642069871 Издательство: Springer Рейтинг: Цена: 23058.00 р. 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: Gang Xu; Zhengyou Zhang Название: Epipolar Geometry in Stereo, Motion and Object Recognition ISBN: 0792341996 ISBN-13(EAN): 9780792341994 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Описание: This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features.
Автор: Yulia Levakhina Название: Three-Dimensional Digital Tomosynthesis ISBN: 3658056967 ISBN-13(EAN): 9783658056964 Издательство: Springer Рейтинг: Цена: 10760.00 р. 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: 12577.00 р. 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: 13974.00 р. 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.
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: 14673.00 р. 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: 18284.00 р. 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.
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: 18167.00 р. 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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