Facial Expression Recognition: A Study
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
Facial Expressions are the outcome of the moments done through face muscles with respect in the changes on face. These expressions may represent the person’s internal emotional stage as well as thought in a body language manner. Body language is the hidden sign of expression which not only represent the thinking of the person but also help to judge the person. It helps for better communication and thought exchange. There is a considerable history associated with the study on facial expressions. In this work, we present our recent work on recognizing facial expressions using discriminative local statistical features. Especially variants of principal component analysis are investigated for facial representation. Finally, the current status, open problems, and research directions are discussed. This study investigated whether facial expressions can be accurately identified using face region only, how much recognition is impaired relative to the facial parts, and what mechanisms account for the recognition advantage of some expressions. In most of the prior studies, the facial parts were used but there significance in recognition respective of facial expression was not shown.
Authors and Affiliations
Arpita waze, Deepak Sharma
Keywords
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