Article ID Journal Published Year Pages File Type
529619 Image and Vision Computing 2006 7 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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