Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.
This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods
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.
Fun pictograms and infographics about computer games make learning about math topics such as ratios, speed, distance, time, volume, percentages, and equations easy and fun. In this book, readers are presented with several computer game scenarios and must use their mathematical skills to solve equations to up their scores. Math puzzles and exercises help children build confidence in their math skills.
In clear, easy-to-grasp language, the author covers many of the topics that you will need to know in order to launch and run a successful business venture.
This volume contains a selection of papers on the most up-to-date experiences in the field of computers and education. It includes most relevant case studies and novel research results addressing technical and methodological aspects of computers and educations. It is relevant to researchers, practitioners, teaching staff and developers working in e-learning, computer-based education, educational software, distributed learning, lifelong learning, and open and distance learning.
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