title: Feature-based detection of facial landmarks from neutral and expressive facial images.
abstract: Feature-based method for detecting landmarks from facial images was designed. The method was based on extracting oriented edges and constructing edge maps at two resolution levels. Edge regions with characteristic edge pattern formed landmark candidates. The method ensured invariance to expressions while detecting eyes. Nose and mouth detection was deteriorated by happiness and disgust.
authors.affiliation: Research Group for Emotions, Sociality, and Computing, Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Tampere, FIN-33014, Finland. ig74400@cs.uta.fi
authors.forename: Yulia
authors.initials: Y
authors.lastname: Gizatdinova
authors.forename: Veikko
authors.initials: V
authors.lastname: Surakka
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods; D005145:Face / Q000033:anatomy & histology*; D005149:Facial Expression; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique