Authors:
- Author among leading researchers using evolutionary computing concepts to solve computer vision problems
- Explains principles of mathematical optimization and paradigm of artificial evolution
- Useful for computer vision practitioners
Part of the book series: Natural Computing Series (NCS)
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Table of contents (10 chapters)
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Front Matter
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Introduction
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Front Matter
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Basics
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Front Matter
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Feature Location and Extraction
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Front Matter
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Learning and Recognition
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Front Matter
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Finale
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Front Matter
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Back Matter
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 ofvalue to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
Keywords
Reviews
“The book is written in a concise and complete manner ... . It will guide you through a new interdisciplinary field where the 3D modeling of computer vision is achieved using theoretical methods with elegant mathematics to applications with exciting intellectual results.” (Long Quan, The Hong Kong University of Science and Technology)
“This superb book, written by a leading researcher in evolutionary computing and computer vision, represents pioneering work where the principles of mathematical optimization are merged with the paradigm of artificial evolution in an original and productive way.” (Marco Tomassini, Université de Lausanne)
“Excellent text provides a rigorous and scholarly account of evolutionary computing methods as a compelling way to approach computer vision ... . I expect this to be an essential source for students and researchers in evolutionary computing. For others, it may provide thought-provoking alternatives to mainstream computer vision techniques.” (Steven M. LaValle, University of Illinois)
Authors and Affiliations
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EvoVisión Research Team, CICESE Research Center, Ensenada, Mexico
Gustavo Olague
About the author
Gustavo Olague received his Ph.D. in Computer Vision, Graphics and Robotics from INPG (Institut Polytechnique de Grenoble) and INRIA (Institut National de Recherche en Informatique et Automatique) in France. He is a Professor in the Dept. of Computer Science at CICESE (Centro de Investigación Científica y de Educación Superior de Ensenada) in Mexico, and the Director of its EvoVisión Research Team. He is also an Adjoint Professor of Engineering at UACH (Universidad Autonóma de Chihuahua). He has authored over 100 conference proceedings papers and journal articles, he coedited two special issues in Pattern Recognition Letters and Evolutionary Computation, and he served as cochair of the Real-World Applications track at the main international evolutionary computing conference, GECCO (ACM SIGEVO Genetic and Evolutionary Computation Conference). Prof. Olague has received numerous distinctions, among them the Talbert Abrams Award presented by the American Society for Photogrammetry and Remote Sensing (ASPRS) for authorship and recording of current and historical engineering and scientific developments in photogrammetry; Best Paper awards at major conferences such as GECCO, EvoIASP (European Workshop on Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition) and EvoHOT (European Workshop on Evolutionary Hardware Optimization); and twice the Bronze Medal at the Humies (GECCO award for Human-Competitive results produced by genetic and evolutionary computation). His main research interests are evolutionary computing and computer vision.
Bibliographic Information
Book Title: Evolutionary Computer Vision
Book Subtitle: The First Footprints
Authors: Gustavo Olague
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-662-43693-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-43692-9Published: 07 October 2016
Softcover ISBN: 978-3-662-56874-3Published: 30 April 2018
eBook ISBN: 978-3-662-43693-6Published: 28 September 2016
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XXII, 411
Number of Illustrations: 52 b/w illustrations, 103 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computational Intelligence, Artificial Intelligence, Theory of Computation, Evolutionary Biology