본문 바로가기
  • Home

An Improved Object Detection Method using Hausdorff Distance Modified by Local Pattern Similarity

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(6), pp.147-152
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kyoungsik Cho 1 KOO JA YOUNG 2

1강원관광대학
2단국대학교

Accredited

ABSTRACT

Face detection is a crucial part of the face recognition system. It determines the performance of the whole recognition system. Hausdorff distance metric has been used in face detection and recognition with good results. It defines the distance metric based only on the geometric similarity between two sets of points. However, not only the geometry but also the local patterns around the points are available in most cases. In this paper a new Hausdorff distance measure is proposed that makes hybrid use of the similarity of the geometry and the local patterns around the points. Several experiments shows that the new method outperforms the conventional method.

Citation status

* References for papers published after 2022 are currently being built.