A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations

  • Authors:
  • Ady Ecker;Shimon Ullman

  • Affiliations:
  • University of Toronto;Weizmann Institute of Science

  • Venue:
  • CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a novel approach for measuring deformations between image patches. Our algorithm is a variant of dynamic programming that is not inherently one-dimensional, and its scores are on a relative scale. The method is based on the combination of similarities between many overlapping sub-patches. The algorithm is designed to be robust to small deformations of parts at various positions and scales.