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Titlebook: Geometric Computing for Perception Action Systems; Concepts, Algorithms Eduardo Bayro Corrochano Book 2001 Springer Science+Business Media

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发表于 2025-3-21 17:11:45 | 显示全部楼层 |阅读模式
书目名称Geometric Computing for Perception Action Systems
副标题Concepts, Algorithms
编辑Eduardo Bayro Corrochano
视频videohttp://file.papertrans.cn/384/383484/383484.mp4
图书封面Titlebook: Geometric Computing for Perception Action Systems; Concepts, Algorithms Eduardo Bayro Corrochano Book 2001 Springer Science+Business Media
描述All the efforts to build an intelligent machine have not yet produced a satisfactory autonomous system despite the great progress that has been made in developing computer hardware over the last three decades. The complexity of the tasks that a cognitive system must perform is still not understood well enough. Let us call the endeavor of building intelligent systems as the construction of Perception Action Cycles (PAC). The key idea is to incorporate representation and learning in a flexible geometric system. Until now this issue has always been a matter of neurocomputing. The most frequently used algebraic system for neurocomputation is matrix algebra. However, calculations in geometric algebra often reveal a geometric structure which remains obscure in the equivalent matrix computations. The development of PAC in a unified comprehensive mathematical system is urgently needed to bring unity and coherance to the problems of artificial intelligence. Accordingly, we are motivated by the challenge of applying geometric algebra to the development of PAC systems. Geometric algebra provides the general mathematical framework for the development of the ideas of multi-linear algebra, multi
出版日期Book 2001
关键词Algebra; Processing; Variable; algorithms; artificial intelligence; complexity; image processing; robot
版次1
doihttps://doi.org/10.1007/978-1-4613-0177-6
isbn_softcover978-1-4612-6535-1
isbn_ebook978-1-4613-0177-6
copyrightSpringer Science+Business Media New York 2001
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,Kostformen (incl. künstlicher Ernährung),ng 3D and 4D geometric algebras, the classic model for the 3D motion of vectors. Finally, we compare both models, that is, the one using 3D Euclidean geometric algebra and our model, which uses 4D motor algebra.
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Kinematics of the 2D and 3D Spacesng 3D and 4D geometric algebras, the classic model for the 3D motion of vectors. Finally, we compare both models, that is, the one using 3D Euclidean geometric algebra and our model, which uses 4D motor algebra.
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Geometric Algebra of Computer Vision vision. Since geometric algebra offers both geometric insight and algebraic computational power, it is useful for tasks such as the computation of projective invariants, camera calibration, and the recovery of shape and motion. We will mainly focus on the geometry of multiple uncalibrated cameras.
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Image Processingalysis in frequency domain. These techniques are fundamental for automated visual inspection, robot guidance, medical imaging, and analysis of image sequences, as well as for satellite and aerial photogrammetry.
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