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Titlebook: Evolutionary Computer Vision; The First Footprints Gustavo Olague Textbook 2016 Springer-Verlag Berlin Heidelberg 2016 Artificial Vision.Co

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發(fā)表于 2025-3-21 19:31:20 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Computer Vision
副標(biāo)題The First Footprints
編輯Gustavo Olague
視頻videohttp://file.papertrans.cn/318/317905/317905.mp4
概述Author among leading researchers using evolutionary computing concepts to solve computer vision problems.Explains principles of mathematical optimization and paradigm of artificial evolution.Useful fo
叢書名稱Natural Computing Series
圖書封面Titlebook: Evolutionary Computer Vision; The First Footprints Gustavo Olague Textbook 2016 Springer-Verlag Berlin Heidelberg 2016 Artificial Vision.Co
描述.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..
出版日期Textbook 2016
關(guān)鍵詞Artificial Vision; Computer Vision; Evolutionary Computing (EC); Evolutionary Synthesis; Feature Extract
版次1
doihttps://doi.org/10.1007/978-3-662-43693-6
isbn_softcover978-3-662-56874-3
isbn_ebook978-3-662-43693-6Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightSpringer-Verlag Berlin Heidelberg 2016
The information of publication is updating

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發(fā)表于 2025-3-21 23:35:09 | 只看該作者
Accurate Modeling of Image Features Using Evolutionary Computinghine vision tasks. The criteria for the high-accurate location of corners and targets are described and numerous examples of a real working system are presented for precision up to sub-pixel accuracy.
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發(fā)表于 2025-3-22 02:30:00 | 只看該作者
Regieren im dynamischen Mehrebenensystemrograms capable of adapting and solving open-ended questions. Finally, several selected topics are covered in order to complete the survey about recent stochastic techniques inspired by nature that are common in evolutionary computing literature.
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Textbook 2016or 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..
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發(fā)表于 2025-3-22 17:20:32 | 只看該作者
Gustavo OlagueAuthor among leading researchers using evolutionary computing concepts to solve computer vision problems.Explains principles of mathematical optimization and paradigm of artificial evolution.Useful fo
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Natural Computing Serieshttp://image.papertrans.cn/e/image/317905.jpg
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Gudrun Hentges,Kristina Nottbohms, the chapter focuses on the challenge of recreating such abilities within a seeing machine. The introduction serves to formulate the process of image formation through the concept of a graph of a function. Later, the main motivation for writing this book is provided, emphasizing the approach that
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