Title :
Facial expression detection
Author :
Matre, G.N. ; Shah, Shridhar K.
Author_Institution :
Dept. of E&TC, Univ. of Pune, Pune, India
Abstract :
Due to globalization and digital divide facial expression detection has received the primary attention in order to identify the criminals and breaches. Facial expressions are the changes occurring on the human face indicating a person´s internal emotional states, intents or societal communications. Depending on the expressions on the face, human face is the most principal mode of conveying and deducing affective states of human ones. In real time, facial expression detection has become a prominent research area as it plays an important role in Human Computer Interaction. The applications of the facial expression detection are computer vision, biometric security, social interaction, emotional intelligence and social intelligence. This paper focuses a brief survey about various techniques used in facial expression detection and their respective pros and cons.
Keywords :
computer vision; face recognition; human computer interaction; biometric security; computer vision; emotional intelligence; facial expression detection; human computer interaction; human face; person internal emotional states; social intelligence; social interaction; societal communications; Face; Face recognition; Gabor filters; Image color analysis; Lighting; Principal component analysis; Tensile stress; Biometric Security; Facial Expression; Tensor;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
DOI :
10.1109/ICCIC.2013.6724242