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Two-Dimensional Channel Representation for Multiple Velocities

  • Hagen Spies
  • Per-Erik Forssén
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

We present a two-dimensional information representation, where small but overlapping Gaussian kernels are used to encode the data in a matrix. Apart from points we apply this to constraints that restrict the solution to a linear subspace. A localised decoding scheme accurately extracts multiple solutions together with an estimate of the covariances. We employ the method in optical flow computations to determine multiple velocities occurring at motion discontinuities.

Keywords

Optical Flow Channel Matrix Vector Plot Multiple Motion Optical Flow Computation 
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-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Hagen Spies
    • 1
    • 2
  • Per-Erik Forssén
    • 1
  1. 1.Computer Vision Laboratory Dept. of Electrical EngineeringLinköping UniversityLinköpingSweden
  2. 2.ContextVision ABLinköpingSweden

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