Facial Expression Recognition System Using Facial Characteristic Points And ID3

Autor:	Shubhrata Gupta, Nazil Perveen, Keshri Verma
Rok vydání:	2014
Předmět:	stomatognathic diseases Facial characteristic Facial expression recognition Computer science business.industry Pattern recognition computer.file_format Artificial intelligence business computer ID3
Zdroj:	International Journal of Computer and Communication Technology. :109-113
ISSN:	2231-0371 0975-7449
DOI:	10.47893/ijcct.2014.1229
Popis:	Facial expression is one of the most powerful, natural, and abrupt means for human beings which have the knack to communicate emotion and regulate inter-personal behaviour. In this paper we present a novel approach for facial expression detection using decision tree. Facial expression information is mostly concentrate on facial expression information regions, so the mouth, eye and eyebrow regions are segmented from the facial expression images firstly. Using these templates we calculate 30 facial characteristics points (FCP’s). These facial characteristic points describe the position and shape of the above three organs to find diverse parameters which are input to the decision tree for recognizing different facial expressions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d8da10a43b1c3766e1bc625a0591cada https://doi.org/10.47893/ijcct.2014.1229 Zobrazit plný text záznamu