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Locating the mouth using weighted templates

Publication at Faculty of Mathematics and Physics |
2007

Abstract

The aim is the automatic location of mouths in two-dimensional grey-scale images of faces. We study theoretical properties of the weighted correlation coefficient, which outperforms the classical sample correlation coefficient.

Robustness to asymmetry of the mouth is studied theoretically.