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The 12th International Symposium on Graph Drawing (GD 2004)was held d- ing September 29-October 2, 2004, at City College, CUNY, in the heart of Harlem, New York City. GD 2004 attracted 94 participants from 19 countries. In response to the call for papers, the program committee received 86 re- larsubmissionsdescribingoriginalresearchand/orsystemdemonstrations.Each submissionwasreviewedbyatleastthreeprogramcommitteemembersandc- ments were returned to the authors. Following extensive e-mail discussions, the program committee accepted 39 long papers (11 pages each in the proceedings) and 12 short papers (6 pages each). In addition, 4 posters were displayed and discussed in the conference exhibition room (2 pages each in the proceedings). Theprogramcommittee ofGD 2004invitedtwo distinguishedlecturers.P- fessorPaulSeymourfromPrincetonUniversitypresenteda newcharacterization ofclaw-freegraphs(jointworkwithMariaChudnovsky).ProfessorErikDemaine from MIT reported on his joint work with Fedor Fomin, MohammadTaghi - jiaghayi and Dimitrios Thilikos, concerning fast (often subexponential) ?x- parameter algorithms and polynomial approximation schemes for broad classes of NP-hard problems in topological graph theory. A survey of the subject by Professors Demaine and Hajiaghayi is included in this volume. As usual, the annual graph drawing contest was held during the conference. This time the contest had two distinct tracks: the graph drawing challenge and the freestyle contest. A report is included in the proceedings.

Computer science—Mathematics. --- Discrete mathematics. --- Algorithms. --- Computer graphics. --- Artificial intelligence—Data processing. --- Discrete Mathematics in Computer Science. --- Algorithms. --- Computer Graphics. --- Data Science. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Algorism --- Algebra --- Arithmetic --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Digital techniques --- Foundations

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The computer interpretation of line drawings is a classic problem in artificial intelligence and has inspired the development of some fundamental AI tools, including constraint propagation, probabilistic relaxation, tractable constraints, and (most recently) local simplification of optimisation problems. Based on the author’s considerable research experience, this book looks at line drawing interpretation and constraint satisfaction, covering several landmark results in the field. It contains state-of-the-art reviews of work in both drawing interpretation and discrete optimisation, and is not just restricted to drawings of polyhedral objects, but also covers complex curved objects. Its novel approach to drawing interpretation combines new constraints with recent advances in soft constraint programming. The book will become a standard reference in the field with its coverage of many theoretical results with formal proofs, particularly concerning necessary-and-sufficient conditions for realizability, simplification operations for combinatorial problems and tractability of drawing interpretation. Martin Cooper makes this fascinating topic accessible not only to computer scientists, but also to mathematicians, psychologists and cognitive scientists – indeed to anyone intrigued by optical illusions and impossible or ambiguous figures.

Computer Science. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Mathematical Logic and Formal Languages. --- Image Processing and Computer Vision. --- Cognitive Psychology. --- Discrete Mathematics in Computer Science. --- Computer science. --- Computational complexity. --- Computer vision. --- Computer aided design. --- Consciousness. --- Informatique --- Complexité de calcul (Informatique) --- Vision par ordinateur --- Conception assistée par ordinateur --- Conscience --- Optical pattern recognition --- Computer graphics --- Engineering & Applied Sciences --- Applied Physics --- Optical pattern recognition. --- Computer graphics. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Mathematical logic. --- Computer science --- Image processing. --- Computer-aided engineering. --- Cognitive psychology. --- Mathematics. --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Digital techniques --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination

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Computer graphics comprises the creation and representation of simple graphical elements and images, as well as modern techniques for rendering a virtual reality. To apply these techniques correctly, one requires a basic understanding of the fundamental concepts in graphics. This book introduces the most important basic concepts of computer graphics, coupling the technical background and theory with practical examples and applications throughout. Its user-friendly approach enables the reader to gain understanding through the theory at work, via the many example programs provided. With only elementary knowledge of the programming language Java, the reader will be able to create their own images and animations immediately, using Java 2D and/or Java 3D. Features: • Presents computer graphics theory and practice in integrated combination • Focuses on the increasingly used Java 3D (and 2D in the first section of the book) • Uses many pedagogical tools, including numerous easy-to-understand example programs and end-of-chapter exercises • Offers Internet support for students and instructors (found at http://public.rz.fh-wolfenbuettel.de/~klawonn/computergraphics), such as additional exercises, solutions, program examples, slides for lecturers and links to useful websites • Provides an ideal, self-contained introduction to computer graphics Written for second year undergraduates and above, this reader-friendly, clear and concise textbook will be an essential tool for those studying Computer Science and Computer Engineering. Frank Klawonn has many years of experience teaching computer graphics and coordinating application projects with companies.

grafische vormgeving --- Artificial intelligence. Robotics. Simulation. Graphics --- Java (informatica) --- Computer graphics. --- Java (Computer program language). --- Application software. --- Optical data processing. --- Computer Applications. --- Computer Graphics. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical equipment --- Digital techniques --- Computer vision. --- Computer and Information Systems Applications. --- Digital techniques. --- Digital image processing --- Digital electronics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems

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This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.

Mathematical statistics --- Graphic methods --- R (Computer program language) --- Méthodes graphiques --- R (Langage de programmation) --- Graphic methods. --- Datenanalyse. --- Graphische Darstellung. --- Plot (Graphische Darstellung) --- R (Programm) --- Visualisierung. --- 001.4226 --- GNU-S (Computer program language) --- Domain-specific programming languages --- Graphics --- Graphs --- Geometrical drawing --- Least squares --- Mathematics --- Mechanical drawing --- Methoden en technieken --- statistiek --- R (Computer program language). --- Mathematical Statistics --- Elementary Mathematics & Arithmetic --- Physical Sciences & Mathematics --- Plot (Graphische Darstellung). --- R (Programm). --- statistiek. --- Méthodes graphiques --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Mathematical statistics. --- Visualization. --- Computer graphics. --- Statistics and Computing/Statistics Programs. --- Computer Graphics. --- Datenanalyse --- Graphische Darstellung --- Visualisierung --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Statistical methods --- Digital techniques --- Statistics . --- Mathematics. --- Math --- Science --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

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The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year. Indeed, if at the beginning of Computer Graphics the use of Artificial Intelligence techniques was quite unknown, more and more researchers all over the world are nowadays interested in intelligent techniques allowing substantial improvements of traditional Computer Graphics methods. The other main contribution of intelligent techniques in Computer Graphics is to allow invention of completely new methods, often based on automation of a lot of tasks assumed in the past by the user in an imprecise and (human) time consuming manner. This volume contains both invited and selected extended papers from the last 3IA Conference (3IA’2008), together with an introduction presenting the area of Intelligent Computer Graphics and various Computer Graphics areas where introduction of intelligent techniques permitted to resolve important problems. We hope that this volume will be interesting for the reader and that it will convince him (her) to use, or to invent, intelligent techniques in Computer Graphics and, maybe, to join the Intelligent Computer Graphics community.

Engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Artificial intelligence. --- Computer graphics. --- Engineering mathematics. --- Ingénierie --- Intelligence artificielle --- Infographie --- Mathématiques de l'ingénieur --- Applied Mathematics --- Computer Science --- Civil Engineering --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Computer graphics --- Computer programs. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Applied mathematics. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- Construction --- Industrial arts --- Technology --- Mathematics --- Digital techniques --- Mathematical and Computational Engineering. --- Artificial Intelligence.