Automatic edge-based localization of facial features from images with complex facial expressions

Authors:
Yulia Gizatdinova;Veikko Surakka
Affiliations:
Research Group for Emotions, Sociality, and Computing, Department of Computer Sciences, University of Tampere, Kanslerinrinne 1, 33014, Finland;Research Group for Emotions, Sociality, and Computing, Department of Computer Sciences, University of Tampere, Kanslerinrinne 1, 33014, Finland
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

Automatic localization of facial features is an essential step for many systems of face recognition, facial expression classification and intelligent vision-based human-computer interfaces. In this paper, we present automatic edge-based method of locating regions of prominent facial features from up-right facial images. The proposed localization scheme was tested on several public databases of complex facial expressions. The method demonstrated high localization rates when localization accuracy was evaluated by both a conventional point error measure and a new rectangular error measure that takes into account the location of the feature in the image and the true feature size.