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Intrinsic two-dimensional local structures for micro-expression recognition

Version 2 2024-06-06, 11:59
Version 1 2019-05-08, 11:31
conference contribution
posted on 2024-06-06, 11:59 authored by YH Oh, AC Le Ngo, RCW Phan, J See, HC Ling
An elapsed facial emotion involves changes of facial contour due to the motions (such as contraction or stretch) of facial muscles located at the eyes, nose, lips and etc. Thus, the important information such as corners of facial contours that are located in various regions of the face are crucial to the recognition of facial expressions, and even more apparent for micro-expressions. In this paper, we propose the first known notion of employing intrinsic two-dimensional (i2D) local structures to represent these features for micro-expression recognition. To retrieve i2D local structures such as phase and orientation, higher order Riesz transforms are employed by means of monogenic curvature tensors. Experiments performed on micro-expression datasets show the effectiveness of i2D local structures in recognizing micro-expressions.

History

Pagination

1851-1855

Location

Shanghai, China

Start date

2016-03-20

End date

2016-03-25

ISSN

1520-6149

ISBN-13

9781479999880

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2016, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

ICASSP : Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing

Event

IEEE Signal Processing Society. Conference (41st : 2016 : Shanghai, China)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway, N.J.

Series

IEEE Signal Processing Society Conference

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