erformance Analysis on Learning Algorithms with various Facial Expressions in Spiking Neural Networks
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 3
Abstract
This paper is based on different expression classification and facial action recognition performed using human face database. This work aims to classify different facial expressions of the individuals from the static facial images from the JAFFE database with an improved spike model which is trained with the certain learning algorithms to recognize, the kind of expression with different poses such as happy, sad, neutral, fear and neutral.. This work challenges towards the development of more accurate and automated facial expression recognition methods of expressions.
Authors and Affiliations
J. Lincy Kiruba , A. Diana Andrushia
Keywords
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