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The Geometry Algebra of Computer Vision

  • Eduardo Bayro Corrochano
  • Joan Lasenby

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Eduardo Bayro Corrochano
  • Joan Lasenby

There are no affiliations available

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