Susan 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise

  • Authors:
  • Nicolas Walter;Olivier Aubreton;Yohan D. Fougerolle;Olivier Laligant

  • Affiliations:
  • Laboratoire Le2i, UMR, Le Creusot, France;Laboratoire Le2i, UMR, Le Creusot, France;Laboratoire Le2i, UMR, Le Creusot, France;Laboratoire Le2i, UMR, Le Creusot, France

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to complete the work on the 3D SUSAN operator, an extraction of principal saliency degrees and direction is proposed. This will lead the proposed operator to a complete classification of vertices in five different classes: cavity points, valley points, flat points, prong points and salient points. To assess the operator, we propose two different studies. The robustness to the resolution and the regularity of meshes is presented for three different operators. To complete the evaluation, the robustness to noise is analysed, for the Stokely and the SUSAN operator. Our conclusion presents the benefits, drawbacks of the technique and future works.