The Geometry Algebra of Computer Vision

Eduardo Bayro Corrochano and Joan Lasenby

Chapter Chapter 7 in Geometric Algebra with Applications in Science and Engineering, 2001, pp 123-146 from Springer

Abstract: Abstract In this chapter we present a mathematical approach for the computation of problems in computer vision which is based on geometric algebra. We will show that geometric algebra is a well-founded and elegant language for expressing and implementing those aspects of linear algebra and projective geometry that are useful for computer 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 recovery of shape and motion. We will mainly focus on the geometry of multiple uncalibrated cameras

Keywords: Computer Vision; Image Plane; Projective Space; Projective Geometry; Geometric Algebra (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-0159-5_7

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DOI: 10.1007/978-1-4612-0159-5_7

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