Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2e
Bangjun Lei, The Institute of Intelligent Vision and Image Information, China Three Gorges University;
Guangzhu Xu, The Institute of Intelligent Vision and Image Information, China Three Gorges University;
Ming Feng, The Institute of Intelligent Vision and Image Information, China Three Gorges University;
Yaobin Zou, China Three Gorges University;
Ferdinand van der Heijden, University of Twente;
Dick de Ridder, Wageningen University;
David M. J. Tax, Delft University of Technology
John Wiley & Sons, Inc., 2017
ISBN: 978-1-119-15243-9;
Language: English
Fully updated and extensively revised, Classification, Parameter Estimation and State Estimation, provides designers, data analysts, researchers, and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk through the basics of computer vision, past and present, and they explore the subtler intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including:
- PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5
- Machine learning applications for computer vision
- The latest techniques for classification and supervised learning, with an emphasis on neural network, genetic state estimation, and other particle filter and AI state estimation methods
- All new coverage of the Adaboost and its implementation in PRTools5
A working resource for professionals and an introduction for advanced-level students, this book features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. MATLAB is used to solve numerous examples in the book.
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A supplemental set of MATLAB code files is available for download on the publisher’s site (password required).
