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Titlebook: Geometric Computing; for Wavelet Transfor Eduardo Bayro-Corrochano Book Jul 2010Latest edition Springer-Verlag London Limited 2010 Clifford

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書目名稱Geometric Computing
副標(biāo)題for Wavelet Transfor
編輯Eduardo Bayro-Corrochano
視頻videohttp://file.papertrans.cn/384/383483/383483.mp4
概述Offers a gentle and pedagogic introduction to geometric algebra.Presents mathematical language in an accessible, clear manner for readers from diverse disciplines.Offers exercises, figures, pseudo-cod
圖書封面Titlebook: Geometric Computing; for Wavelet Transfor Eduardo Bayro-Corrochano Book Jul 2010Latest edition Springer-Verlag London Limited 2010 Clifford
描述.This book offers a gentle introduction to Clifford geometric algebra, an advanced mathematical framework, for applications in perception action systems. Part I, is written in an accessible way allowing readers to easily grasp the mathematical system of Clifford algebra. Part II presents related topics. While Part 3 features practical applications for Computer Vision, Robotics, Image Processing and Neural Computing...Topics and Features include: theory and application of the quaternion Fourier and wavelet transforms, thorough discussion on geometric computing under uncertainty, an entire chapter devoted to the useful conformal geometric algebra, presents examples and hints for the use of public domain computer programs for geometric algebra...The modern framework for geometric computing highlighted will be of great use for communities working on image processing, computer vision, artificial intelligence, neural networks, neuroscience, robotics, control engineering, human and robot interfaces, haptics and humanoids..
出版日期Book Jul 2010Latest edition
關(guān)鍵詞Clifford Algebras; Computer Vision; Geometric Computing; Neural Computing; Robotics
版次1
doihttps://doi.org/10.1007/978-1-84882-929-9
copyrightSpringer-Verlag London Limited 2010
The information of publication is updating

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Springer-Verlag London Limited 2010
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use of public domain computer programs for geometric algebra...The modern framework for geometric computing highlighted will be of great use for communities working on image processing, computer vision, artificial intelligence, neural networks, neuroscience, robotics, control engineering, human and robot interfaces, haptics and humanoids..
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Lie Algebras and the Algebra of Incidence Using the Null Cone and Affine Plane
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Applications of Lie Filters, and Quaternion Fourier and Wavelet Transforms
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