Facial Expression Recognition
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 5
Abstract
Facial expression analysis is rapidly becoming an area of ntense interest in computer science and human-computer interaction design communities. The most expressive way humans display emotions is through facial expressions. In this paper a method is implemented using 2D appearance-based local approach for the extraction of intransient facial features nd recognition of four facial expressions. The algorithm plements Radial Symmetry Transform and further uses edge projection analysis for feature extraction and creates a dynamic spatiotemporal representation of the face, followed by lassification into one of the expression classes. The algorithm achieves an accuracy of 81.0% for facial expression ecognition from grayscale image.
Authors and Affiliations
Neeta Sarode , Prof. Shalini Bhatia
Keywords
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