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Computer Science 2006 - Graphics, Vision, Image Processing, Signal Processing
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Steven M. LaValle
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.
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Jon Doyle
This book deploys the mathematical axioms of modern rational mechanics to understand minds as mechanical systems that exhibit actual, not metaphorical, forces, inertia, and motion. Using precise mental models developed in artificial intelligence the author analyzes motivation, attention, reasoning, learning, and communication in mechanical terms. These analyses provide psychology and economics with new characterizations of bounded rationality; provide mechanics with new types of materials exhibiting the constitutive kinematic and dynamic properties characteristic of different kinds of minds; and provide philosophy with a rigorous theory of hybrid systems combining discrete and continuous mechanical quantities. The resulting mechanical reintegration of the physical sciences that characterize human bodies and the mental sciences that characterize human minds opens traditional philosophical and modern computational questions to new paths of technical analysis.
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Richard Hartley, Andrew Zisserman
A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms.
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Bill Casselman
This practical introduction to the techniques needed to produce high-quality mathematical illustrations is suitable for anyone with basic knowledge of coordinate geometry. Bill Casselman combines a completely self-contained step-by-step introduction to the graphics programming language PostScript with an analysis of the requirements of good mathematical illustrations. The many small simple graphics projects can also be used in courses in geometry, graphics, or general mathematics. Code for many of the illustrations is included, and can be downloaded from the book's web site: www.math.ubc.ca/~cass/graphics/manualMathematicians; scientists, engineers, and even graphic designers seeking help in creating technical illustrations need look no further.
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Gregory Dudek, Michael Jenkin
This is a superb textbook for advanced undergraduate and graduate students in the field of mobile robotics. With a special emphasis on computation and algorithms, Dudek and Jenkin address a range of strategies for enabling robots to master problems of navigation, pose estimation, and autonomous exploration. While they concentrate on wheeled and legged mobile robots, they also discuss a variety of other propulsion systems with kinematic models developed for many of the more common locomotive strategies. Chapters present algorithms for both visual and nonvisual sensor technologies, including sonar, vision, and laser scanners. In the section on reasoning, the authors thoroughly examine the subject of planning and the issues related to spatial representation. A comprehensive overview of the field, Computational Principles of Mobile Robotics complements its discussion of state-of-the art methods with 139 illustrations of key current and historical technologies.
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Joseph O'Rourke
This is the newly revised and expanded edition of the popular introduction to the design and implementation of geometry algorithms arising in areas such as computer graphics, robotics, and engineering design. The second edition contains material on several new topics, such as randomized algorithms for polygon triangulation, planar point location, 3D convex hull construction, intersection algorithms for ray-segment and ray-triangle, and point-in-polyhedron. A new "Sources" chapter points to supplemental literature for readers needing more information on any topic. A novel aspect is the inclusion of working C code for many of the algorithms, with discussion of practical implementation issues. The self-contained treatment presumes only an elementary knowledge of mathematics, but reaches topics on the frontier of current research, making it a useful reference for practitioners at all levels. The code in this new edition is significantly improved from the first edition, and four new routines are included. Java versions for this new edition are also available. All code is accessible from the book's Web site (http://cs.smith.edu/~orourke/) or by anonymous ftp.
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Michael Seul, Lawrence O'Gorman, Michael J. Sammon
This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic "cookbook" style, it reflects the authors' long experience as users and developers of image analysis algorithms and software. For each task, they present a description and implementation of the most suitable procedure in easy-to-use form. The algorithms range from the simplest steps to advanced functions not commonly available for Windows users. Each self-contained section treats a single operation (histogram evaluation, low-pass filtering, and edge detection, among others). The coverage includes typical situations requiring that operation and then discusses the algorithm and implementation. Sections start with a header illustrating the nature of the procedure through a "before" and "after" pictorial example and a ready-reference that lists typical applications, keywords, and related procedures. Annotated references can be found at the end of each section. An accompanying CD-ROM contains a collection of C programs for carrying out the book's procedures.
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S. G. Hoggar
This major revision of the author's popular book still focuses on foundations and proofs, but now exhibits a shift away from Topology to Probability and Information Theory (with Shannon's source and channel encoding theorems) which are used throughout. Three vital areas for the digital revolution are tackled (compression, restoration and recognition), establishing not only what is true, but why, to facilitate education and research. It will remain a valuable book for computer scientists, engineers and applied mathematicians.
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Paul Suetens
Medical imaging has become a very important technology in medical diagnosis and treatment. This book reveals the mathematical and physical principles of medical imaging and image processing--from how medical images are obtained to how they are used. After an introduction to digital image processing, the author explains the most important imaging modalities in use today: Radiography, Computed Tomography, Magnetic Resonance Imaging, Ultrasonic Imaging and Nuclear Medicine Imaging. The remaining chapters cover image analysis and visualization after images are available. A CD packaged with the book includes all of the images in color, and some animated images.
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Samuel R. Buss
This introduction to 3D computer graphics emphasizes fundamentals and the mathematics underlying computer graphics, while also covering programming techniques using OpenGL, a platform-independent graphics programming environment. The minimal prerequisites make it suitable for self-study or for use as an advanced undergraduate or introductory graduate text as the author leads step-by-step from the basics of transformations to advanced topics such as animations and kinematics. Accompanying software, including source code for a ray tracing software package, is available freely from the book's web site.
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Solomon W. Golomb, Guang Gong
Wireless communications, advanced radar and sonar systems, and security systems for Internet transactions are contemporary examples of systems that employ digital signals to transmit information. This volume affords comprehensive, up-to-date treatment of the methodologies and application areas throughout the range of digital communication where individual signals, and sets of signals, with favorable correlation properties play a central role. Some application areas covered include Code Division Multiple Access (CDMA) signals such as those in use for cell-phone communication; digital systems for coded radar and sonar signals; and methods for secure authentication and stream cipher cryptology. The authors provide the necessary mathematical background to explain how the signals are generated and to show how the signals satisfy the appropriate correlation constraints.
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Edited by Daniel N. Rockmore, Dennis M. Healy, Jr
The mathematical basis of signal processing and its many areas of application is the subject of this book. Based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute, the volume emphasizes current challenges, new techniques adapted to new technologies, and certain recent advances in algorithms and theory.
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Wesley E. Snyder, Hairong Qi
Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.
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Abdelhak M. Zoubir, D. Robert Iskander
The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths, and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering, and automotive engineering.
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Afra J. Zomorodian
Written by a computer scientist for computer scientists, this book teaches topology from a computational point of view, and shows how to solve real problems that have topological aspects involving computers. Such problems arise in many areas, such as computer graphics, robotics, structural biology, and chemistry. The author starts from the basics of topology, assuming no prior exposure to the subject, and moves rapidly up to recent advances in the area, including topological persistence and hierarchical Morse complexes. Algorithms and data structures are presented when appropriate.
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Robert M. Gray, Lee D. Davisson
This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the text.
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Hsien-Che Lee
Color imaging technology has become almost ubiquitous in modern life in the form of monitors, liquid crystal screens, color printers, scanners, and digital cameras. This book is a comprehensive guide to the scientific and engineering principles of color imaging. It covers the physics of light and color, how the eye and physical devices capture color images, how color is measured and calibrated, and how images are processed. It stresses physical principles and includes a wealth of real-world examples. The book will be of value to scientists and engineers in the color imaging industry and, with homework problems, can also be used as a text for graduate courses on color imaging.
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Edited by Jacob E. Goodman, Janos Pach, Emo Welzl
During the past few decades, the gradual merger of Discrete Geometry and the newer discipline of Computational Geometry has provided enormous impetus to mathematicians and computer scientists interested in geometric problems. This volume, which contains 32 papers on a broad range of topics of current interest in the field, is an outgrowth of that synergism. It includes surveys and research articles exploring geometric arrangements, polytopes, packing, covering, discrete convexity, geometric algorithms and their complexity, and the combinatorial complexity of geometric objects, particularly in low dimension.
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William Playfair, Introduction by Howard Wainer, Ian Spence
A scientific revolution began at the end of the 18th century with the creation and popularization of the graphic display of data by Scottish inventor William Playfair, who introduced the line graph, bar chart, and pie chart into statistics. His remarkable Atlas demonstrated how much could be learned if one plotted data graphically and looked for suggestive patterns to provide evidence for pursuing research. In the Statistical Breviary, Playfair invented the pie chart and expanded upon this concept to facilitate the comparison of the resources of European countries. Playfair's work has great relevance to contemporary science, but finding copies of his original versions is very difficult. This re-issuance of two of his classic works, with new explanatory material, allows access to his wisdom for the first time in two centuries. In full color exactly as Playfair hand-colored the original, this volume includes exact duplicates of the third edition of his classic Atlas as well as the Statistical Breviary. An additional feature is the inclusion of annotations and an extensive biography of the remarkable inventor.
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