A novel weighted Hausdorff distance for face localization

Huachun Tan*, Yu Jin Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In this paper, a new weighted Hausdorff distance measure is proposed for face localization. The weighting function in the new Hausdorff distance measure has large values at important locations, in which the values are proportional to the frequency of edge points appearing. Thus, the weighting function can reflect the common properties of face edge maps effectively. When comparing the edge maps of the face model and that of a candidate face region in face localization, the weighted Hausdorff distance incorporates information about the location of important edge points so that the face can be localized more accurately. Experimental results show the new weighted Hausdorff distance measure achieves accurate face localization.

Original languageEnglish
Pages (from-to)656-662
Number of pages7
JournalImage and Vision Computing
Volume24
Issue number7
DOIs
Publication statusPublished - 1 Jul 2006
Externally publishedYes

Keywords

  • Face localization
  • Hausdorff distance
  • Weighting function

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