Corner detection in textured color images


Journal Article

Corner models in the literature have lagged behind edge models with respect to color and shading. We use both a region model, based on distributions of pixel colors, and an edge model, which removes false positives, to perform corner detection on color images whose regions contain texture. We show results on a variety of natural images at different scales that highlight the problems that occur when boundaries between regions have curvature.

Duke Authors

Cited Authors

  • Ruzon, MA; Tomasi, C

Published Date

  • December 1, 1999

Published In

  • Proceedings of the Ieee International Conference on Computer Vision

Volume / Issue

  • 2 /

Start / End Page

  • 1039 - 1045

Citation Source

  • Scopus