Intrinsic two-dimensional local structures for micro-expression recognition

Yee Hui Oh; Anh Cat Le Ngo; Raphael C. W. Phari; John See; Huo Chong Ling

doi:10.1109/ICASSP.2016.7471997

Intrinsic two-dimensional local structures for micro-expression recognition

Yee Hui Oh, Anh Cat Le Ngo, Raphael C. W. Phari, John See, Huo Chong Ling

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
Pages	1851-1855
Number of pages	5
ISBN (Electronic)	9781479999880
DOIs	https://doi.org/10.1109/ICASSP.2016.7471997
Publication status	Published - 19 May 2016
Event	41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016 - Shanghai International Convention Center, Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016

Conference

Conference	41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016
Abbreviated title	ICASSP 2016
Country/Territory	China
City	Shanghai
Period	20/03/16 → 25/03/16

Keywords

Emotion
higher order Riesz transform
i2D
micro-expressions

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2016.7471997

Cite this

@inproceedings{c55d8066472c48bfa20dcc4e2b6a98c1,

title = "Intrinsic two-dimensional local structures for micro-expression recognition",

abstract = "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.",

keywords = "Emotion, higher order Riesz transform, i2D, micro-expressions",

author = "Oh, {Yee Hui} and {Le Ngo}, {Anh Cat} and Phari, {Raphael C. W.} and John See and Ling, {Huo Chong}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; 41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",

year = "2016",

month = may,

day = "19",

doi = "10.1109/ICASSP.2016.7471997",

language = "English",

pages = "1851--1855",

booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

address = "United States",

}

Oh, YH, Le Ngo, AC, Phari, RCW, See, J & Ling, HC 2016, Intrinsic two-dimensional local structures for micro-expression recognition. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 1851-1855, 41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/ICASSP.2016.7471997

TY - GEN

T1 - Intrinsic two-dimensional local structures for micro-expression recognition

AU - Oh, Yee Hui

AU - Le Ngo, Anh Cat

AU - Phari, Raphael C. W.

AU - See, John

AU - Ling, Huo Chong

PY - 2016/5/19

Y1 - 2016/5/19

N2 - 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.

AB - 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.

KW - Emotion

KW - higher order Riesz transform

KW - i2D

KW - micro-expressions

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U2 - 10.1109/ICASSP.2016.7471997

DO - 10.1109/ICASSP.2016.7471997

M3 - Conference contribution

AN - SCOPUS:84973343749

SP - 1851

EP - 1855

BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

T2 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016

Y2 - 20 March 2016 through 25 March 2016

ER -

Intrinsic two-dimensional local structures for micro-expression recognition

Abstract

Conference

Keywords

ASJC Scopus subject areas

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