Advertisement
Published in:
2013 | OriginalPaper | Chapter
A Facial Expression Recognition Method Based on Singular Value Features and Improved BP Neural Network
Authors : Wei Qin, Qiansheng Fang, Yalong Yang
Published in: Advances in Image and Graphics Technologies
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
Expression recognition is an important subjective measurement method in emotional calculation. Considering the stability and representativeness of image algebra features, expression characteristics can be extracted by singular value decomposition. BP neural network optimized by the genetic algorithm is adopted as a classifier. Using the classifier, an expression recognition experiment was done on the JAFFE library and emotional induced experimental expression database. Comparing with the traditional BP classifier, the results of the experiment proves that the method is more effective and efficient.