Table of contents
About this book
This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors.
In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision.
This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
- Book Title Evolutionary Computer Vision
- Book Subtitle The First Footprints
- Series Title Natural Computing Series
- Series Abbreviated Title Natural Computing Series
- DOI https://doi.org/10.1007/978-3-662-43693-6
- Copyright Information Springer-Verlag Berlin Heidelberg 2016
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Computer Science Computer Science (R0)
- Hardcover ISBN 978-3-662-43692-9
- Softcover ISBN 978-3-662-56874-3
- eBook ISBN 978-3-662-43693-6
- Series ISSN 1619-7127
- Edition Number 1
- Number of Pages XXII, 411
- Number of Illustrations 52 b/w illustrations, 103 illustrations in colour
Computer Imaging, Vision, Pattern Recognition and Graphics
Theory of Computation
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