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检索条件"丛书名=Computational Imaging and Vision"

共 67 条记录，以下是41-50 订阅

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Mathematical morphology and its applications to image processing 1

Mathematical morphology and its applications to image proces...

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丛书名： computational imaging and vision 2

1994年

作者： Jean Serra Pierre Soille (auth.) Jean Serra Pierre Soille (eds.)

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State-of-the-Art in Content-Based Image and Video Retrieval 1

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丛书名： computational imaging and vision

1000年

作者： Remco C. Veltkamp Hans Burkhardt Hans-Peter Kriegel

ISBN: (数字)9789401596640

ISBN: (纸本)9781402001093;9789048158638

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.;This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.;The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

关键词： Multimedia Information Systems Information Storage and Retrieval Data Structures and Information Theory Computer imaging, vision, Pattern Recognition and Graphics

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Machine Learning in Computer vision 1

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丛书名： computational imaging and vision

1000年

作者： N. Sebe Ira Cohen Ashutosh Garg Thomas S. Huang

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Epipolar Geometry in Stereo, Motion and Object Recognition 1

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丛书名： computational imaging and vision

1000年

作者： Gang Xu Zhengyou Zhang

ISBN: (数字)9789401586689

ISBN: (纸本)9780792341994;9789048147434

Appendix 164 3. A 3. A. 1 Approximate Estimation of Fundamental Matrix from General Matrix 164 3. A. 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 1 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 2. 1 Overlap of Two Corresponding Line Segments 173 Estimating Motion by Maximizing Overlap 175 4. 2. 2 Implementation Details 4. 2. 3 176 Reconstructing 3D Line Segments 4. 2. 4 179 4. 2. 5 Experimental Results 180 4. 2. 6 Discussions 192 4. 3 Determining Epipolar Geometry of Three Views 194 4. 3. 1 Trifocal Constraints for Point Matches 194 4. 3. 2 Trifocal Constraints for Line Correspondences 199 4. 3. 3 Linear Estimation of K, L, and M Using Points and Lines 200 4. 3. 4 Determining Camera Projection Matrices 201 4. 3. 5 Image Transfer 203 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5. 1 Conventional Approaches to Stereo, Motion and Object Recognition 205 5. 1. 1 Stereo 205 5. 1. 2 Motion 206 5. 1. 3 Object Recognition 207 5. 2 Correspondence in Stereo, Motion and Object Recognition as 1D Search 209 5. 2. 1 Stereo Matching 209 xi Contents 5. 2. 2 Motion Correspondence and Segmentation 209 5. 2. 3 3D Object Recognition and Localization 210 Disparity and Spatial Disparity Space 210 5.

关键词： Computer imaging, vision, Pattern Recognition and Graphics Electrical Engineering Image Processing and Computer vision Computer Graphics Mechanical Engineering

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Mathematical Morphology and its Applications to Image and Signal Processing 1

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丛书名： computational imaging and vision

1000年

作者： Petros Maragos Ronald W. Schafer Muhammad Akmal Butt

ISBN: (数字)9781461304692

ISBN: (纸本)9780792397335;9781461380634

Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.;MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies.;The purpose of;is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes:

关键词： Image Processing and Computer vision Optics, Lasers, Photonics, Optical Devices Signal, Image and Speech Processing Computer imaging, vision, Pattern Recognition and Graphics Order, Lattices, Ordered Algebraic Structures

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The Theory of the Moiré Phenomenon 1

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丛书名： computational imaging and vision

1000年

作者： Isaac Amidror

ISBN: (数字)9789401142052

Who has not noticed, on one o~casion or another, those intriguing geometric patterns which appear at the intersection Of repetitive structures such as two far picket fences on a hill, the railings on both sides of a bridge, superposed layers of fabric, or folds of a nylon curtain? This fascinating phenomenon, known as the moire effect, has found useful applications in several fields of science and technology, such as metrology, strain analysis or even document authentication and anti-counterfeiting. However, in other situations moire patterns may have an unwanted, adverse effect. This is the case in the printing world, and, in particular, in the field of colour reproduction: moire patterns which may be caused by the dot-screens used for colour printing may severely deteriorate the image quality and tum into a real printer's nightmare. The starting point of the work on which this book is based was, indeed, in the research of moire phenomena in the context of the colour printing process. The initial aim of this research was to understand the nature and the causes of the superposition moire patterns between regular screens in order to find how to avoid, or at least minimize, their adverse effect on colour printing. This interesting research led us, after all, to a much more far reaching mathematical understanding of the moire phenomenon, whose interest stands in its own right, independently of any particular application.

关键词： Fourier Analysis Optics, Lasers, Photonics, Optical Devices Image Processing and Computer vision Applications of Mathematics

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The Theory of the Moiré Phenomenon 2

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丛书名： computational imaging and vision

1000年

作者： Isaac Amidror

ISBN: (数字)9781848821811

ISBN: (纸本)9781848821804;9781447156918

Since the first edition of this book was published several new developments have been made in the field of the moiré theory. The most important of these concern new results that have recently been obtained on moiré effects between correlated aperiodic (or random) structures, a subject that was completely absent in the first edition, and which appears now for the first time in a second, separate volume. This also explains the change in the title of the present volume, which now includes the subtitle “Volume I: Periodic Layers”. This subtitle has been added to clearly distinguish the present volume from its new companion, which is subtitled “Volume II: Aperiodic Layers”. It should be noted, however, that the new subtitle of the present volume may be somewhat misleading, since this book also treats (in Chapters 10 and 11) moiré effects between repetitive layers, which are, in fact, geometric transformations of periodic layers, that are generally no longer periodic in themselves. The most suitable subtitle for the present volume would therefore have been “Periodic or Repetitive Layers”, but in the end we have decided on the shorter version.

关键词： Fourier Analysis Optics, Lasers, Photonics, Optical Devices Image Processing and Computer vision Applications of Mathematics

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Ten Lectures on Statistical and Structural Pattern Recognition 1

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丛书名： computational imaging and vision

1000年

作者： Michail I. Schlesinger Václav Hlaváč

ISBN: (数字)9789401732178

ISBN: (纸本)9781402006425;9789048160273

Preface to the English edition This monograph Ten Lectur,es on Statistical and Structural Pattern Recognition uncovers the close relationship between various well known pattern recognition problems that have so far been considered independent. These relationships became apparent when formal procedures addressing not only known prob lems but also their generalisations were discovered. The generalised problem formulations were analysed mathematically and unified algorithms were found. The book unifies of two main streams ill pattern recognition-the statisti cal a11d structural ones. In addition to this bridging on the uppermost level, the book mentions several other unexpected relations within statistical and structural methods. The monograph is intended for experts, for students, as well as for those who want to enter the field of pattern recognition. The theory is built up from scratch with almost no assumptions about any prior knowledge of the reader. Even when rigorous mathematical language is used we make an effort to keep the text easy to comprehend. This approach makes the book suitable for students at the beginning of their scientific career. Basic building blocks are explained in a style of an accessible intellectual exercise, thus promoting good practice in reading mathematical text. The paradoxes, beauty, and pitfalls of scientific research are shown on examples from pattern recognition. Each lecture is amended by a discussion with an inquisitive student that elucidates and deepens the explanation, providing additional pointers to computational procedures and deep rooted errors.

关键词： Information Systems Applications (incl. Internet) Artificial Intelligence Statistics, general Symbolic and Algebraic Manipulation

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Mathematical Morphology: 40 Years On 1

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丛书名： computational imaging and vision

1000年

作者： Christian Ronse Laurent Najman Etienne Decencière

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Medial Representations 1

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丛书名： computational imaging and vision

1000年

作者： Kaleem Siddiqi Stephen M. Pizer

ISBN: (数字)9781402086588

ISBN: (纸本)9781402086571;9789048179466

The last half century has seen the development of many biological or physical t- ories that have explicitly or implicitly involved medial descriptions of objects and other spatial entities in our world. Simultaneously mathematicians have studied the properties of these skeletal descriptions of shape, and, stimulated by the many areas where medial models are useful, computer scientists and engineers have developed numerous algorithms for computing and using these models. We bring this kno- edge and experience together into this book in order to make medial technology more widely understood and used. The book consists of an introductory chapter, two chapters on the major mat- matical results on medial representations, ?ve chapters on algorithms for extracting medial models from boundary or binary image descriptions of objects, and three chapters on applications in image analysis and other areas of study and design. We hope that this book will serve the science and engineering communities using medial models and will provide learning material for students entering this ?eld. We are fortunate to have recruited many of the world leaders in medial theory, algorithms, and applications to write chapters in this book. We thank them for their signi?cant effort in preparing their contributions. We have edited these chapters and have combined them with the ?ve chapters that we have written to produce an integrated whole.

关键词： Geometry Algorithms Image Processing and Computer vision Artificial Intelligence computational Science and Engineering

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