MATLAB code for detection and classification of micro-expressions from the Spontaneous Micro-Expression

Description

Facial micro-expressions contain significant information about how people feel, even when they are attempting to conceal their emotions. Previously, very little research has been done to detect and recognize micro-expressions using computer vision methods.
In this paper, detection and classification of micro-expressions from the Spontaneous Micro-Expression database were implemented, following preprocessing and cropping of raw images using Haar features, using local binary patterns on three orthogonal planes (LBP-TOP) and local gray code patterns on three orthogonal planes (LGCP-TOP) as descriptors and support vector machines (SVMs) as detection and recognition algorithms. Results show accuracy comparable to other work.

Facial Micro-Expression Recognition

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