Evolutionary Computer Vision
The First Footprints
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Beschreibung
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.
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.
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
Autor*in
Gustavo Olague
Themen in »Evolutionary Computer Vision«
Artificial Vision Computer Vision Evolutionary Computing (EC) Evolutionary Synthesis Feature Extraction Sensor Planning Stereoscopic Vision Visual Learning Optimization Machine Vision Darwinian Evolution Artificial Intelligence Sensor Planning Genetic Programming Evolutionary Synthesis
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“Olague’s book aims to lay the foundations of this interdisciplinary research topic, concentrating particularly on goal-driven vision. … This book is very pleasant to read, clear and well explained. … Dr. Olague dots the text with original viewpoints, historical perspectives, and philosophical arguments. … this excellent book is suitable for a large audience: beginners will find all the important features to start with, while specialists will find food for thought.” (Evelyne Lutton, Genetic Programming and Evolvable Machines, 2017)
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“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)
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