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Titlebook: Geometric Computing with Clifford Algebras; Theoretical Foundati Gerald Sommer Book 2001 Springer-Verlag Berlin Heidelberg 2001 Algebra.Alg

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書目名稱Geometric Computing with Clifford Algebras
副標(biāo)題Theoretical Foundati
編輯Gerald Sommer
視頻videohttp://file.papertrans.cn/384/383485/383485.mp4
圖書封面Titlebook: Geometric Computing with Clifford Algebras; Theoretical Foundati Gerald Sommer Book 2001 Springer-Verlag Berlin Heidelberg 2001 Algebra.Alg
描述Clifford algebra, then called geometric algebra, was introduced more than a cenetury ago by William K. Clifford, building on work by Grassmann and Hamilton. Clifford or geometric algebra shows strong unifying aspects and turned out in the 1960s to be a most adequate formalism for describing different geometry-related algebraic systems as specializations of one "mother algebra" in various subfields of physics and engineering. Recent work outlines that Clifford algebra provides a universal and powerfull algebraic framework for an elegant and coherent representation of various problems occuring in computer science, signal processing, neural computing, image processing, pattern recognition, computer vision, and robotics. This monograph-like anthology introduces the concepts and framework of Clifford algebra and provides computer scientists, engineers, physicists, and mathematicians with a rich source of examples of how to work with this formalism.
出版日期Book 2001
關(guān)鍵詞Algebra; Algebraic Expressions; Algebraic Geometry; Clifford Algebras; Computational Geometry; Computer; C
版次1
doihttps://doi.org/10.1007/978-3-662-04621-0
isbn_softcover978-3-642-07442-4
isbn_ebook978-3-662-04621-0
copyrightSpringer-Verlag Berlin Heidelberg 2001
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https://doi.org/10.1007/978-94-007-0507-4ifferent formalisms. For example, standard matrix analysis has been used in [102] and [210]. An analysis of multiple view tensors in terms of Grassmann-Cayley (GC) algebra can be found in [82], [179], [80]. Geometric Algebra (GA) has also been applied to the problem [184], [185], [142], [141].
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Susan Carter,Cally Guerin,Claire Aitchisonld” has to be understood by a computer. This may be with regard to control movement (robots), to survey a scene for later interpretation (medicine), or to create and mix artificial with real environments (special effects).
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Spatial-Color Clifford Algebras for Invariant Image RecognitionPractice shows that they successfully cope with the problem of recognizing objects at different locations, of different views and illumination, and in different orders of blurring. But how is this done by the brain? How do we see? How do we recognize constantly moving and changing objects of the surrounding world?
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