Stochastic properties of the cross ratio

  • Authors:
  • S. J. Maybank

  • Affiliations:
  • -

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1996

Quantified Score

Hi-index 0.10

Visualization

Abstract

In computer vision the cross ratio is the basis of many recognition algorithms which do not require estimates of the position and orientation of the camera. The cross ratio is also employed in vehicle navigation, in which it is necessary to identify artificial landmarks or beacons placed in the environment. A stochastic model is constructed in order to assess the false alarm rate in a recognition system based on the cross ratio. The evolution of a quadruple of measurements is modelled by a Brownian motion in @?^4. Let @t"@s be the first time at which the Brownian motion hits the set of measurement vectors with cross ratio @s. It is shown that P (@t"@s