Facial expression recognition based on local binary patterns and coarse-to-fine classification

Xiaoyi Feng

Facial expression recognition based on local binary patterns and coarse-to-fine classification

Xiaoyi Feng

School of Electronics and Information

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

33 Scopus citations

Abstract

Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.

Original language	English
Title of host publication	Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)
Editors	D. Wei, H. Wang, Z. Peng, A. Kara, Y. He
Pages	178-183
Number of pages	6
State	Published - 2004
Event	Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004) - Wuhan, China Duration: 14 Sep 2004 → 16 Sep 2004

Publication series

Name	Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)

Conference

Conference	Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)
Country/Territory	China
City	Wuhan
Period	14/09/04 → 16/09/04

Cite this

Feng, X. (2004). Facial expression recognition based on local binary patterns and coarse-to-fine classification. In D. Wei, H. Wang, Z. Peng, A. Kara, & Y. He (Eds.), Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004) (pp. 178-183). (Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)).

Feng, Xiaoyi. / Facial expression recognition based on local binary patterns and coarse-to-fine classification. Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004). editor / D. Wei ; H. Wang ; Z. Peng ; A. Kara ; Y. He. 2004. pp. 178-183 (Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)).

@inproceedings{cbac98bd377d4956bc0981954925b858,

title = "Facial expression recognition based on local binary patterns and coarse-to-fine classification",

abstract = "Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.",

author = "Xiaoyi Feng",

year = "2004",

language = "英语",

isbn = "0769522165",

series = "Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)",

pages = "178--183",

editor = "D. Wei and H. Wang and Z. Peng and A. Kara and Y. He",

booktitle = "Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)",

note = "Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004) ; Conference date: 14-09-2004 Through 16-09-2004",

}

Feng, X 2004, Facial expression recognition based on local binary patterns and coarse-to-fine classification. in D Wei, H Wang, Z Peng, A Kara & Y He (eds), Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004). Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004), pp. 178-183, Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004), Wuhan, China, 14/09/04.

Facial expression recognition based on local binary patterns and coarse-to-fine classification. / Feng, Xiaoyi.
Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004). ed. / D. Wei; H. Wang; Z. Peng; A. Kara; Y. He. 2004. p. 178-183 (Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)).

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

TY - GEN

T1 - Facial expression recognition based on local binary patterns and coarse-to-fine classification

AU - Feng, Xiaoyi

PY - 2004

Y1 - 2004

N2 - Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.

AB - Automatic facial expression recognition for novel individuals from static images is a challenge task to pattern analysis research community. In this paper, we present an effective method for this task. We analyze seven basic expressions: angry, disgust, fear, happiness, neutral, sadness and surprise. First, the Local Binary Pattern (LBP) operator is used to extract face appearance features. Then a two-stage classification method is proposed. At the first (coarse classification) stage, two expression candidates from initial seven are selected. At the second (fine classification) stage, one of the two candidate classes is verified as final expression class. Our algorithm is tested on the JAFFE database and promising results are obtained.

UR - https://www.scopus.com/pages/publications/9744241072

M3 - 会议稿件

AN - SCOPUS:9744241072

SN - 0769522165

T3 - Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)

SP - 178

EP - 183

BT - Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)

A2 - Wei, D.

A2 - Wang, H.

A2 - Peng, Z.

A2 - Kara, A.

A2 - He, Y.

T2 - Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)

Y2 - 14 September 2004 through 16 September 2004

ER -

Feng X. Facial expression recognition based on local binary patterns and coarse-to-fine classification. In Wei D, Wang H, Peng Z, Kara A, He Y, editors, Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004). 2004. p. 178-183. (Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)).

Facial expression recognition based on local binary patterns and coarse-to-fine classification

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