Facial Expression Recognition Using Face-Regions
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Facial Expression Recognition Using Face-Regions |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Lekdioui K, Ruichek Y, Messoussi R, Chaabi Y, Touahni R |
| Editor | ElHassouni M, Karim M, BenHamida A, BenSlima A, Solaiman B |
| Conference Name | 2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP) |
| Publisher | Univ Sidi Mohamed Ben Abdellah; Fac Sci; Fac Med & Pharm; CNRST; TICSM; IEEE Morocco Sect; IEEE Signal Proc Soc Morocco Chapter |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-0551-6 |
| Mots-clés | Facial decomposition, Facial expression recognition, facial landmarks, feature descriptor, SVM |
| Résumé | This paper proposes a facial expression recognition method based on a novel facial decomposition. First, seven regions of interest (ROI), representing the main components of face (left eyebrow, right eyebrow, left eye, right eye, between eyebrows, nose and mouth), are extracted using facial landmarks detected by IntraFace algorithm. Then, different local descriptors, such as LBP, CLBP, LTP and Dynamic LTP, are used to extract features. Finally, feature vector, representing face image, is fed into a multiclass support vector machine to achieve the recognition task. Experimental results on two public datasets show that the proposed method outperforms state of the art methods based on other facial decompositions. |