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Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Topics and features: Provides an introduction to the basic notation and mathematical concepts for describing an image, and the key concepts for mapping an image into an image Explains the topologic and geometric basics for analysing image regions and distributions of image values, and discusses identifying patterns in an image Introduces optic flow for representing dense motion, and such topics in sparse motion analysis as keypoint detection and descriptor definition, and feature tracking using the Kalman filter Describes special approaches for image binarization and segmentation of still images or video frames Examines the three basic components of a computer vision system, namely camera geometry and photometry, coordinate systems, and camera calibration Reviews different techniques for vision-based 3D shape reconstruction, including the use of structured lighting, stereo vision, and shading-based shape understanding Includes a discussion of stereo matchers, and the phase-congruency model for image features Presents an introduction into classification and learning, with a detailed description of basic AdaBoost and the use of random forests This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme.

Computer vision --- Computer algorithms --- Engineering & Applied Sciences --- Applied Physics --- Machine vision --- Vision, Computer --- Computer science. --- Computers. --- Image processing. --- Computer Science. --- Image Processing and Computer Vision. --- Computing Methodologies. --- Computer vision. --- Artificial intelligence. --- Artificial Intelligence. --- Artificial intelligence --- Image processing --- Pattern recognition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer algorithms. --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Artificial intelligence. Robotics. Simulation. Graphics --- Image processing --- Handbooks, manuals, etc --- Handbooks, manuals, etc. --- Traitement d'images --- Digital techniques --- Image processing - Handbooks, manuals, etc.

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The Euclidean shortest path (ESP) problem asks the question: what is the path of minimum length connecting two points in a 2- or 3-dimensional space? Variants of this industrially-significant computational geometry problem also require the path to pass through specified areas and avoid defined obstacles. This unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. Discussing each concept and algorithm in depth, the book includes mathematical proofs for many of the given statements. Suitable for a second- or third-year university algorithms course, the text enables readers to understand not only the algorithms and their pseudocodes, but also the correctness proofs, the analysis of time complexities, and other related topics. Topics and features: Provides theoretical and programming exercises at the end of each chapter Presents a thorough introduction to shortest paths in Euclidean geometry, and the class of algorithms called rubberband algorithms Discusses algorithms for calculating exact or approximate ESPs in the plane Examines the shortest paths on 3D surfaces, in simple polyhedrons and in cube-curves Describes the application of rubberband algorithms for solving art gallery problems, including the safari, zookeeper, watchman, and touring polygons route problems Includes lists of symbols and abbreviations, in addition to other appendices This hands-on guide will be of interest to undergraduate students in computer science, IT, mathematics, and engineering. Programmers, mathematicians, and engineers dealing with shortest-path problems in practical applications will also find the book a useful resource. Dr. Fajie Li is at Huaqiao University, Xiamen, Fujian, China. Prof. Dr. Reinhard Klette is at the Tamaki Innovation Campus of The University of Auckland.

Computational complexity. --- Computer aided design. --- Computer science. --- Computer science -- Mathematics. --- Computer software. --- Electronic data processing. --- Euclidean algorithm. --- Optical pattern recognition. --- Graph algorithms --- Mathematics --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Algebra --- Computer Science --- Mathematical analysis. --- Algebraic spaces. --- Spaces, Algebraic --- 517.1 Mathematical analysis --- Mathematical analysis --- Algorithm of Euclid --- Continued division --- Division, Continued --- Euclid algorithm --- Euclidian algorithm --- Euclid's algorithm --- Algorithms. --- Numerical analysis. --- Computer science --- Pattern recognition. --- Computer-aided engineering. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Numeric Computing. --- Pattern Recognition. --- Discrete Mathematics in Computer Science. --- Math Applications in Computer Science. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Mathematics. --- Geometry, Algebraic --- Algorithms --- Number theory --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Informatics --- Science --- Complexity, Computational --- Electronic data processing --- Machine theory --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Software, Computer --- Computer systems --- Automation --- Computer science—Mathematics. --- CAE --- Engineering --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorism --- Arithmetic --- Foundations

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Digital geometry is about deriving geometric information from digital pictures. The field emerged from its mathematical roots some forty-years ago through work in computer-based imaging, and it is used today in many fields, such as digital image processing and analysis (with applications in medical imaging, pattern recognition, and robotics) and of course computer graphics. Digital Geometry is the first book to detail the concepts, algorithms, and practices of the discipline. This comphrehensive text and reference provides an introduction to the mathematical foundations of digital geome

Image processing --- Geometry --- Image analysis. --- Computer graphics. --- Algorithms. --- Digital techniques. --- Data processing. --- Algorism --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Analysis of images --- Image interpretation --- Digital image processing --- Algebra --- Arithmetic --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Imaging systems --- Digital electronics --- Foundations --- Digital techniques --- Photographs --- Forensic sciences --- Inspection

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Complex analysis --- Discrete mathematics --- Mathematical statistics --- Computer science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- discrete wiskunde --- complexe analyse (wiskunde) --- informatica --- wiskunde --- KI (kunstmatige intelligentie) --- CAD (computer aided design) --- numerieke analyse