Facial Expression Recognition Using Sparse Coding
عنوان مقاله: Facial Expression Recognition Using Sparse Coding
شناسه ملی مقاله: ICMVIP08_225
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
شناسه ملی مقاله: ICMVIP08_225
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
مشخصات نویسندگان مقاله:
Maryam Abdolali - Faculty of Computer Engineering Amirkabir University of Technology
Mohammad Rahmati - Faculty of Computer Engineering Amirkabir University of Technology
خلاصه مقاله:
Maryam Abdolali - Faculty of Computer Engineering Amirkabir University of Technology
Mohammad Rahmati - Faculty of Computer Engineering Amirkabir University of Technology
In this paper a sparse coding approach is proposed.Due to the similarity of the frequency and orientationrepresentations of Gabor filters and those of the human visualsystem, we have used Gabor filters in the step of creating thedictionary. It has been shown that not all Gabor filters in a typicalGabor bank is necessary and efficient in facial expressionrecognition. Also we proposed a voting system in the test phase ofalgorithm to find the best matching expression. The well knownJAFFE database has been used to evaluate the proposed methodand our experimental results show encouraging results within thementioned database.
کلمات کلیدی: Facial Expression Recognition; Sparse Coding Gabor Filters
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/227574/