Adaptive processing of face emotion tree structures

Jia Jun Wong; Siu Yeung Cho

doi:10.1109/ICPR.2006.222

Adaptive processing of face emotion tree structures

Jia Jun Wong, Siu Yeung Cho

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face Emotion Features. We demonstrated the robustness of our proposed system by testing against other well-known classifiers using the Cohn-Kanade AU-Coded Facial Expression database [1]. The system yields an accuracy of about 93% and 57% for known and unknown subjects respectively.

Original language	English
Title of host publication	Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages	1184-1187
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2006.222
Publication status	Published - 2006
Externally published	Yes
Event	18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China Duration: 20 Aug 2006 → 24 Aug 2006

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	1
ISSN (Print)	1051-4651

Conference

Conference	18th International Conference on Pattern Recognition, ICPR 2006
Country/Territory	China
City	Hong Kong
Period	20/08/06 → 24/08/06

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2006.222

Cite this

@inproceedings{ba3714a211864e0b848ecdb104c1e4c7,

title = "Adaptive processing of face emotion tree structures",

abstract = "This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face Emotion Features. We demonstrated the robustness of our proposed system by testing against other well-known classifiers using the Cohn-Kanade AU-Coded Facial Expression database [1]. The system yields an accuracy of about 93% and 57% for known and unknown subjects respectively.",

author = "Wong, {Jia Jun} and Cho, {Siu Yeung}",

year = "2006",

doi = "10.1109/ICPR.2006.222",

language = "English",

isbn = "0769525210",

series = "Proceedings - International Conference on Pattern Recognition",

pages = "1184--1187",

booktitle = "Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006",

note = "18th International Conference on Pattern Recognition, ICPR 2006 ; Conference date: 20-08-2006 Through 24-08-2006",

}

Wong, JJ & Cho, SY 2006, Adaptive processing of face emotion tree structures. in Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006., 1699101, Proceedings - International Conference on Pattern Recognition, vol. 1, pp. 1184-1187, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, 20/08/06. https://doi.org/10.1109/ICPR.2006.222

TY - GEN

T1 - Adaptive processing of face emotion tree structures

AU - Wong, Jia Jun

AU - Cho, Siu Yeung

PY - 2006

Y1 - 2006

N2 - This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face Emotion Features. We demonstrated the robustness of our proposed system by testing against other well-known classifiers using the Cohn-Kanade AU-Coded Facial Expression database [1]. The system yields an accuracy of about 93% and 57% for known and unknown subjects respectively.

AB - This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face Emotion Features. We demonstrated the robustness of our proposed system by testing against other well-known classifiers using the Cohn-Kanade AU-Coded Facial Expression database [1]. The system yields an accuracy of about 93% and 57% for known and unknown subjects respectively.

UR - http://www.scopus.com/inward/record.url?scp=34047195346&partnerID=8YFLogxK

U2 - 10.1109/ICPR.2006.222

DO - 10.1109/ICPR.2006.222

M3 - Conference contribution

AN - SCOPUS:34047195346

SN - 0769525210

SN - 9780769525211

T3 - Proceedings - International Conference on Pattern Recognition

SP - 1184

EP - 1187

BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006

T2 - 18th International Conference on Pattern Recognition, ICPR 2006

Y2 - 20 August 2006 through 24 August 2006

ER -

Adaptive processing of face emotion tree structures

Abstract

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Conference

ASJC Scopus subject areas

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