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020 _a9781849961080
_99781849961080
024 7 _a10.1007/9781849961080
_2doi
035 _avtls000344629
039 9 _a201509030424
_bVLOAD
_c201405050310
_dVLOAD
_y201402061302
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA345-345.5
100 1 _aBayro-Corrochano, Eduardo.
_eeditor.
_9322349
245 1 0 _aGeometric Algebra Computing :
_bin Engineering and Computer Science /
_cedited by Eduardo Bayro-Corrochano, Gerik Scheuermann.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _axvI, 524 páginas 360 ilustraciones, 180 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aGeometric Algebra -- New Tools for Computational Geometry and Rejuvenation of Screw Theory -- Tutorial: Structure-Preserving Representation of Euclidean Motions Through Conformal Geometric Algebra -- Engineering Graphics in Geometric Algebra -- Parameterization of 3D Conformal Transformations in Conformal Geometric Algebra -- Clifford Fourier Transform -- Two-Dimensional Clifford Windowed Fourier Transform -- The Cylindrical Fourier Transform -- Analyzing Real Vector Fields with Clifford Convolution and Clifford–Fourier Transform -- Clifford–Fourier Transform for Color Image Processing -- Hilbert Transforms in Clifford Analysis -- Image Processing, Wavelets and Neurocomputing -- Geometric Neural Computing for 2D Contour and 3D Surface Reconstruction -- Geometric Associative Memories and Their Applications to Pattern Classification -- Classification and Clustering of Spatial Patterns with Geometric Algebra -- QWT: Retrospective and New Applications -- Computer Vision -- Image Sensor Model Using Geometric Algebra: From Calibration to Motion Estimation -- Model-Based Visual Self-localization Using Gaussian Spheres -- Conformal mapping and Fluid Analysis -- Geometric Characterization of Geometric Algebra -- Some Applications of Gröbner Bases in Robotics and Engineering.
520 _aGeometric algebra provides a rich and general mathematical framework for the development of solutions, concepts and computer algorithms without losing geometric insight into the problem in question. Many current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra, such as multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras, and conformal geometry. Geometric Algebra Computing in Engineering and Computer Science presents contributions from an international selection of experts in the field. This useful text/reference offers new insights and solutions for the development of theorems, algorithms and advanced methods for real-time applications across a range of disciplines. The book also provides an introduction to advanced screw theory and conformal geometry. Written in an accessible style, the discussion of all applications is enhanced by the inclusion of numerous examples, figures and experimental analysis. Topics and features: Provides a thorough discussion of several tasks for image processing, pattern recognition, computer vision, robotics and computer graphics using the geometric algebra framework Introduces nonspecialists to screw theory in the geometric algebra framework, offering a tutorial on conformal geometric algebra and an overview of recent applications of geometric algebra Explores new developments in the domain of Clifford Fourier Transforms and Clifford Wavelet Transform, including novel applications of Clifford Fourier transforms for 3D visualization and colour image spectral analysis Presents a detailed study of fluid flow problems with quaternionic analysis Examines new algorithms for geometric neural computing and cognitive systems Analyzes computer software packages for extensive calculations in geometric algebra, investigating the algorithmic complexity of key geometric operations and how the program code can be optimized for real-time computations The book is an essential resource for computer scientists, applied physicists, AI researchers and mechanical and electrical engineers. It will also be of value to graduate students and researchers interested in a modern language for geometric computing. Prof. Dr. Eng. Eduardo Bayro-Corrochano is a Full Professor of Geometric Computing at Cinvestav, Mexico. He is the author of the Springer titles Geometric Computing for Perception Action Systems, Handbook of Geometric Computing, and Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action. Prof. Dr. Gerik Scheuermann is a Full Professor at the University of Leipzig, Germany. He is the author of the Springer title Topology-Based Methods in Visualization II.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aScheuermann, Gerik.
_eeditor.
_9322350
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781849961073
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-108-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291181
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