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ACII
2011
Springer

A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition

12 years 3 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition and Analysis (FERA), the set of techniques by which non-verbal communication is quantified, is an exemplar case where humans consistently outperform computer methods. While the field of FERA has seen many advances, no system has been proposed which scales well to very large data sets. The challenge for computer vision is how to automatically and non-heuristically downsample the data while maintaining a minimum representational power that does not sacrifice accuracy. In this paper, we propose a method inspired by human vision and attention theory [2]. Video is segmented into temporal partitions with a dynamic sampling rate based on the frequency of visual information. Regions are homogenized by an experimentally selected match-score fusion technique. The approach is shown to increase classification rates by ov...
Albert Cruz, Bir Bhanu, Songfan Yang
Added 12 Dec 2011
Updated 12 Dec 2011
Type Journal
Year 2011
Where ACII
Authors Albert Cruz, Bir Bhanu, Songfan Yang
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