Title :
Facial expression recognition from static images
Author :
Akkoca, B.S. ; Gokmen, Muhittin
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., İstanbul, Turkey
Abstract :
In this study, a cascaded structure includes algorithms of Local Zernike Moments, Local XOR Patterns and Global Zernike Moments is used for Facial Expression Recognition. 10 patches are specified on the images in CK+ dataset and over those pathces 3 methods are applied respectively. By concataneting of the moment coefficients, the feature vector generated and classified with Support Vector Machines.
Keywords :
face recognition; image classification; polynomials; CK+ dataset; cascaded structure; facial expression recognition; feature vector; global Zernike moments; local XOR patterns; local Zernike moments; moment coefficients; patches methods; static images; support vector machines; Conferences; Face; Face recognition; Image processing; Signal processing; Support vector machines; Facial expression Recognition; Global Zernike Moments; Local XOR Patterns; Local Zernike Moments;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830473
