Advertisement
Published in:
2012 | OriginalPaper | Chapter
Facial Expression Recognition Based on Shearlet Transform
Authors : Yan Qu, XiaoMin Mu, Lei Gao, ZhanWei Liu
Published in: Advances in Future Computer and Control Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper,we explore a facial expression recognition approach based on shearlet transform which is a new image multi-scale time-frequency analysis method. In addition to multi-resolution and time-frequency localization owned by traditional wavelet transform, the shearlet transform also provides directionality and anisotropy. Moreover, the low frequency components in shearlet transform are extracted as features; the SVM (Support Vector Machine) is used for classification. Experimental results show that the proposed approach achieves better recognition rates compared to the traditional approaches on the JAFFE database and Ryerson database.