0313516 20240111140708.120081029235959.9 5 s. CD-ROM cav_un_epca*03135151-5Lausanne, SwitzerlandEURASIP2008 facial expression facial meshes recognition feature selection cav_un_auth*0243190 Vretos N. GR cav_un_auth*0243191 Solachidis V. GR cav_un_auth*0101197 Somol Petr UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0243192 Pitas I. GR pdf http://library.utia.cas.cz/separaty/2008/RO/somol-facial expression recognition using angle-related information from facial meshes.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/0593 GA ČR cav_un_auth*0239567 507752 XE EC cav_un_auth*0200689 CEZ:AV0Z10750506 In this paper we introduce a new method for facial expression recognition. In order to be able to recognize the six main facial expressions we use a grid approach and therefore we establish our new feature space based on the angles that each grid’s edge form. This way we undertake several affine transformations such as translation, rotation and scaling which in other approaches are considered very harmful in the overall accuracy of a facial expression recognition algorithm. We will therefore demonstrate how we create this feature space, as well as how we apply a feature selection process within this space. The angular nature of the data impose some considerations which will be clarified in this paper. Prezentujeme novou metodu rozpoznávání výrazu tváře. Abychom mohli rozpoznat jeden z šesti základních typů výrazů, aplikujeme síť záchytných bodů a tím vytváříme nový prostor popisu problému. Tím podchycujeme afinní transformace které u jiných přístupů jsou zdrojem problémů. V novém prostoru provádíme výběr příznaků. cav_un_auth*0243069 16th European Signal Processing Conference (EUSIPCO- 2008) Lausanne 25.08.2008-29.08.2008 CH 2009 BD http://hdl.handle.net/11104/0164316 2008 pdf cav_un_epca*0313515 Proc. 16th European Signal Processing Conference (EUSIPCO- 2008) 1 5 Lausanne, Switzerland EURASIP 2008