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Active Contours deals with the analysis of moving images - a topic of growing importance within the computer graphics industry. In particular it is concerned with understanding, specifying and learning prior models of varying strength and applying them to dynamic contours. Its aim is to develop and analyse these modelling tools in depth and within a consistent framework.

Computer vision. --- Image processing. --- Computer graphics. --- Control theory. --- Vision par ordinateur --- Traitement d'images --- Infographie --- Théorie de la commande --- 681.3*I210 --- Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- 681.3*I210 Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Théorie de la commande --- Computer graphics --- Computer vision --- Control theory --- Image processing --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Dynamics --- Machine theory --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Digital techniques --- Optical data processing. --- Pattern recognition. --- Computer Graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Computer vision --- Visual perception --- #TELE:MI2 --- 681.3*I210 --- 681.3*I54 --- Optics, Psychological --- Vision --- Perception --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Psychological aspects --- Computer vision. --- Visual perception. --- perception visuelle. --- vision 3D. --- vision robot. --- modélisation. --- vision ordinateur. --- Vision artificielle (robotique) --- Traitement d'images. --- Vision par ordinateur. --- Perception visuelle. --- Computervision. --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- 681.3*I210 Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Vision artificielle (robotique). --- Modélisation. --- Vision 3D. --- Vision ordinateur. --- Vision robot.

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Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of Causality has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Cited in more than 3,000 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interests to students and professionals in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable.

Mathematical logic --- Causation --- Probabilities --- Causation. --- Probabilities. --- Causalité --- Probabilités --- 681.3*I210 --- 681.3*I28 --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Causality --- Cause and effect --- Effect and cause --- Final cause --- Beginning --- God --- Metaphysics --- Philosophy --- Necessity (Philosophy) --- Teleology --- 681.3*I28 Problem solving, control methods and search: backtracking; dynamic program- ming; graph and tree search strategies; heuristics; plan execution, formationand generation (Artificial intelligence)--See also {681.3*F22} --- Problem solving, control methods and search: backtracking; dynamic program- ming; graph and tree search strategies; heuristics; plan execution, formationand generation (Artificial intelligence)--See also {681.3*F22} --- 681.3*I210 Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Methoden en technieken --- statistiek.

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Models, Biological --- Vision --- Automatic Data Processing --- Visual Perception --- Human information processing --- Information, Traitement de l', chez l'homme --- 159.931 --- -#TELE:d.d. Prof. A. J. J. Oosterlinck --- 681.3*I210 --- 681.3*I4 --- 681.3*I5 --- Eyesight --- Seeing --- Sight --- Senses and sensation --- Blindfolds --- Eye --- Physiological optics --- Zien. --- Data processing --- Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Image processing: image displays; image processing software (Computing methododologies) --- Pattern recognition (Computing methodologies) --- Human information processing. --- Data processing. --- Mathematical models. --- 681.3*I5 Pattern recognition (Computing methodologies) --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- 681.3*I210 Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- 159.931 Zien. --- Artificial intelligence. Robotics. Simulation. Graphics --- Affective and dynamic functions --- Physiology of nerves and sense organs --- Vision, Ocular. --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- Information processing, Human --- Bionics --- Information theory in psychology --- Perception --- Mathematical models --- Zien --- Models, Biological. --- Electronic Data Processing. --- Visual Perception. --- Vision - Data processing --- Vision - Mathematical models