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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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https://doi.org/10.1007/978-3-642-97821-0ext, we denote scalars with lowercase letters, matrices with uppercase letters, and we use bold lowercase for both vectors in three dimensions and the bivector parts of spinors. Spinors and dual quaternions in four dimensions are denoted by bold uppercase letters.
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https://doi.org/10.1007/978-3-319-64361-8ing the MEKF and 3D lines gained by a visual robot system. These two approaches show that the task of estimating 3D rigid motion is easier using motor algebra because the motion-of-lines model is linear. This chapter benefits by work done in colaboration with Daniilidis and Zang [8, 12, 26].
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https://doi.org/10.1007/978-1-4613-0177-6Algebra; Processing; Variable; algorithms; artificial intelligence; complexity; image processing; robot
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https://doi.org/10.1007/978-3-642-97821-0ord algebra adopted in this book was pioneered in the 1960s by David Hestenes [51], who has since worked on developing his version of Clifford algebra—which will be referred to as . in this volume—into a unifying language for mathematics and physics [47, 4]. Hestenes also presented a study of projec
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https://doi.org/10.1007/978-3-642-91160-6ensional affine plane. Using Lie algebra within this computational framework has the advantage that it is easily accessible to the reader because there is a direct translation of the familiar matrix representations to representations using bivectors from geometric algebra. Generally speaking, Lie gr
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