Expression Recognition Using the Periocular Region: A Feasibility Study
October 23, 2018 Β· Declared Dead Β· π International Conference on Signal-Image Technology and Internet-Based Systems
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Authors
Fernando Alonso-Fernandez, Josef Bigun, Cristofer Englund
arXiv ID
1810.09798
Category
cs.CV: Computer Vision
Citations
12
Venue
International Conference on Signal-Image Technology and Internet-Based Systems
Last Checked
4 months ago
Abstract
This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has the advantage of being available over a wide range of distances and under partial face occlusion, thus making it suitable for unconstrained or uncooperative scenarios. We evaluate five different image descriptors on a dataset of 1,574 images from 118 subjects. The experimental results show an average/overall accuracy of 67.0%/78.0% by fusion of several descriptors. While this accuracy is still behind that attained with full-face methods, it is noteworthy to mention that our initial approach employs only one frame to predict the expression, in contraposition to state of the art, exploiting several order more data comprising spatial-temporal data which is often not available.
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