Direction Diiusion

  • Guillermo Sapiro Vicent Caselles
  • Published 1998

Abstract

In a number of disciplines, directional data provides a fundamental source of information. A novel framework for isotropic and anisotropic di usion of directions is presented in this paper. The framework can be applied both to regularize directional data and to obtain multiscale representations of it. The basic idea is to apply and extend results from the… (More)

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