Evolutionary Computer Vision: The First Footprints by Gustavo OlagueEvolutionary Computer Vision: The First Footprints by Gustavo Olague

Evolutionary Computer Vision: The First Footprints

byGustavo Olague

Hardcover | October 7, 2016

Pricing and Purchase Info

$151.95

Earn 760 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.

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 Ensen...
Loading
Title:Evolutionary Computer Vision: The First FootprintsFormat:HardcoverDimensions:411 pages, 23.5 × 15.5 × 0.03 inPublished:October 7, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662436922

ISBN - 13:9783662436929

Reviews

Table of Contents

Introduction.- Vision and Evolution: The State of the Art.- Evolutionary Computing.- Accurate Modeling of Image Features Using Evolutionary Computing.- Evolutionary Synthesis of Interest Point Detectors Through Genetic Programming.- The Honeybee Search Algorithm.- Multiobjective Sensor Planning for Accurate Reconstruction.- Evolutionary Visual Learning with Linear Genetic Programming.- Evolutionary Synthesis of Feature Descriptor Operators with Genetic Programming.- Summary and Conclusions.- App. A, Camera Calibration and Stereoscopic Vision.- Glossary.- Index.

Editorial Reviews

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."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)