Recognizing micro-expressions in eye region. We present the eyeME framework to recognize micro-expressions in eye region, which consists of several steps, including scale and gray normalization, extracting eye region, feature extraction and selection, and classification.
Dec 12, 2016
Dec 12, 2016 · In this paper, we present a framework to recognize micro-expressions within the eye region, namely eyeME. Specifically, the LBP-TOP feature is ...
The findings seem to indicate that is more easily recognizing emotions when pictures represent the whole face; compared with the specific region (eye and mouth ...
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This work proposes a novel approach using histogram sequence of local binary patterns from three orthogonal planes (LBP-TOP) to extract dynamic features ...
Feb 26, 2016 · Here we show that brief emotional changes in the eyes (micro-expressions, thought to reflect true emotions) can be successfully concealed by follow-up mouth ...
Mar 27, 2019 · This paper proposes two 3D-CNN methods: MicroExpSTCNN and MicroExpFuseNet, for spontaneous facial micro-expression recognition by exploiting the spatiotemporal ...
Facial micro-expression refers to split-second muscle changes in the face, indicating that a person is either consciously or unconsciously suppressing their ...
In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition.
May 20, 2019 · Microexpressions is characterized as dynamic, the features of dynamic expressions may be essential for the recognition of microexpressions.
Missing: eye region.
Oct 20, 2022 · As a final step, eye regions and regions that produce little or no movement are masked by marked facial marker points so as to avoid noise ...