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Locating landmarks using templates

Publication at Faculty of Mathematics and Physics |
2010

Abstract

The paper examines different approaches to classification and discrimination applied to two-dimensional grey-scale images of faces. The aim is the localization of the mouth.

Template matching is compared with results of standard classification methods. We discuss the choice of a suitable template and inspect its robustness aspects.