Grouping with bias revisited

  • Authors:
  • Richard Nock;Frank Nielsen

  • Affiliations:
  • DSI, Univ. Antilles-Guyane, Schoelcher, France;Sony CS Labs Inc., Tokyo, Japan

  • Venue:
  • CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we improve and tailor a recent statistical region merging approach to biased (partially supervised) grouping. The approach appears to be attractive both for its theoretical benefits and its experimental results, as light bias brings dramatic improvements over unbiased approaches on difficult pictures. Comparisons with another biased grouping algorithm display very favorable results.