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This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs. "Three-Dimensional Computer Vision "proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process. Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratory at INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique in Paris.
"Of all the books I have covered in the Forum to date, this set is the most unique and possibly the most useful to the SIGACT community, in support both of teaching and research.... The books can be used by anyone wanting simply to gain an understanding of one of these areas, or by someone desiring to be in research in a topic, or by instructors wishing to find timely information on a subject they are teaching outside their major areas of expertise."
"This is a reference which has a place in every computer science library."
The two volumes contain thirty-seven chapters, with extensive chapter references and individual tables of contents for each chapter. There are 5,387 entry subject indexes that include notational symbols, and a list of contributors and affiliations in each volume.
The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems and processes with periodically varying coefficients. Computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions.
Having established the ability of the parametric transfer function to solve this problem for single-input, single-output systems in previous work, the authors extend these methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems.
Multivariable Computer-controlled Systems is divided into three parts:
Appendices covering basic mathematical formulae and the description of two MATLAB(r) toolboxes round out this self-contained guide to multivariable control systems.
Of special interest to researchers in automatic control and to development engineers working with advanced control technology, Multivariable Computer-controlled Systems will also interest mathematical control theorists and graduate students studying advanced methods of computer-based control.
Hello! Have you ever wanted to read a children's picture book to your child which was not only great fun and interesting for them, but also really entertaining and thought provoking for you?! Well, look no further ...my children's picture book 'The Dandelion Who Refused to be a Weed' has been trialled on lots of families and all the parents say "there's so much more to this book than in other children's picture books, and the kids just love Dolores, the big bright bold dandelion...they just want to keep reading it!" The story is about a dandelion called Dolores, who can't understand why she is called a weed when she is just as beautiful as the other flowers. One day, however, when a storm blows in, it's Dolores who keeps her head while the other flowers lose theirs! The book is beautifully illustrated with bright colours and designed to make any child or adult want to pick it up and read more. It is written from life experiences which gives it a charming authenticity and with a great humorous play on words - it's a must-have read for any child!
Provides a solid integration of basic computing concepts with Pascal programming to foster the use of programming as a problem--solving tool. Topics run the gamut from algorithms and artificial intelligence to computer interfacing and operating systems. Every chapter begins with an intriguing photograph and an activity posing a problem to be solved.
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