DocumentCode
607643
Title
Facial expression recognition using Local Zernike Moments
Author
Akkoca, B.S. ; Gokmen, Muhittin
Author_Institution
Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
Abstract
This study shows that Local Zernike Moments which is a novel study and works in face recognition efficiently can be used for facial expression recognition. Local Zernike Moments (LZM) method based on the calculation of moments at every pixel of the image unlike traditional Zernike Moments produces one moment value over whole image. Promising results are obtained by classifying the feature vectors with KNN (K Nearest Neighbor), belongs to the facial images.
Keywords
face recognition; feature extraction; image classification; KNN; LZM method; facial expression recognition; feature vector classification; k nearest neighbor; local Zernike moments; Art; Conferences; Face recognition; Image recognition; Robustness; Facial Expression Recognition; Local Zernike Moments;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location
Haspolat
Print_ISBN
978-1-4673-5562-9
Electronic_ISBN
978-1-4673-5561-2
Type
conf
DOI
10.1109/SIU.2013.6531264
Filename
6531264
Link To Document