Ensemble of global and local features for face age estimation

Wankou Yang; Cuixian Chen; Karl Ricanek; Changyin Sun

doi:10.1007/978-3-642-21090-7_30

Ensemble of global and local features for face age estimation

Wankou Yang
, Cuixian Chen
, Karl Ricanek
, Changyin Sun

College of Artificial Intelligence and Robotics

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

3 Scopus citations

Abstract

Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavelet transformation. Our experimental results on UIUC-PAL database show that our proposed method works well.

Original language	English
Title of host publication	Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011
Pages	251-259
Number of pages	9
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-21090-7_30
State	Published - 2011
Event	8th International Symposium on Neural Networks, ISNN 2011 - Guilin, China Duration: 29 May 2011 → 1 Jun 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6676 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Symposium on Neural Networks, ISNN 2011
Country/Territory	China
City	Guilin
Period	29/05/11 → 1/06/11

Keywords

AAM
age estimation
ensemble
feature fusion
Gabor

Access to Document

10.1007/978-3-642-21090-7_30

Cite this

Yang, W., Chen, C., Ricanek, K., & Sun, C. (2011). Ensemble of global and local features for face age estimation. In Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011 (PART 2 ed., pp. 251-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6676 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-21090-7_30

Yang, Wankou ; Chen, Cuixian ; Ricanek, Karl et al. / Ensemble of global and local features for face age estimation. Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 2. ed. 2011. pp. 251-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{17009688991c4a97bc21f8a143ae76df,

title = "Ensemble of global and local features for face age estimation",

abstract = "Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavelet transformation. Our experimental results on UIUC-PAL database show that our proposed method works well.",

keywords = "AAM, age estimation, ensemble, feature fusion, Gabor",

author = "Wankou Yang and Cuixian Chen and Karl Ricanek and Changyin Sun",

year = "2011",

doi = "10.1007/978-3-642-21090-7\_30",

language = "英语",

isbn = "9783642210891",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "251--259",

booktitle = "Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011",

edition = "PART 2",

note = "8th International Symposium on Neural Networks, ISNN 2011 ; Conference date: 29-05-2011 Through 01-06-2011",

}

Yang, W, Chen, C, Ricanek, K & Sun, C 2011, Ensemble of global and local features for face age estimation. in Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6676 LNCS, pp. 251-259, 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, 29/05/11. https://doi.org/10.1007/978-3-642-21090-7_30

Ensemble of global and local features for face age estimation. / Yang, Wankou; Chen, Cuixian; Ricanek, Karl et al.
Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 2. ed. 2011. p. 251-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6676 LNCS, No. PART 2).

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

TY - GEN

T1 - Ensemble of global and local features for face age estimation

AU - Yang, Wankou

AU - Chen, Cuixian

AU - Ricanek, Karl

AU - Sun, Changyin

PY - 2011

Y1 - 2011

N2 - Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavelet transformation. Our experimental results on UIUC-PAL database show that our proposed method works well.

AB - Automatic face age estimation is a challenging task due to its complexity owing to genetic difference, behavior and environmental factors, and also the dynamics of facial aging between different individuals. In this paper, we propose a feature fusion method to estimate the face age via SVR, which ensembles global feature from Active Appearance Model (AAM) and the local feature from Gabor wavelet transformation. Our experimental results on UIUC-PAL database show that our proposed method works well.

KW - AAM

KW - age estimation

KW - ensemble

KW - feature fusion

KW - Gabor

UR - https://www.scopus.com/pages/publications/79957807178

U2 - 10.1007/978-3-642-21090-7_30

DO - 10.1007/978-3-642-21090-7_30

M3 - 会议稿件

AN - SCOPUS:79957807178

SN - 9783642210891

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 251

EP - 259

BT - Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011

T2 - 8th International Symposium on Neural Networks, ISNN 2011

Y2 - 29 May 2011 through 1 June 2011

ER -

Yang W, Chen C, Ricanek K, Sun C. Ensemble of global and local features for face age estimation. In Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 2 ed. 2011. p. 251-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-21090-7_30

Ensemble of global and local features for face age estimation

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