A two-stage facial landmark localization method

Wei Wei; Chunna Tian; Yanning Zhang

doi:10.1109/ICOT.2015.7498512

A two-stage facial landmark localization method

Wei Wei, Chunna Tian, Yanning Zhang

School of Computer Science

Xidian University

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

4 Scopus citations

Abstract

Facial expression analysis plays an important role in nonverbal immersive communications. Considering facial landmark localization is an essential part for facial expression analysis, it draws much attention. Since the accuracy of facial landmark localization is related with different expressions and is affected by the result of face detection, we propose a two-stage facial landmark localization method in this paper. First, a method which models face detection, facial alignment and expression recognition simultaneously is used to roughly locate the facial features/landmarks. Then a supervised descent method is used to refine the locations of facial features. Experimental results on the extend Cohn-Kanade database demonstrate that the proposed method has more accurate facial landmarks localization result.

Original language	English
Title of host publication	Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-160
Number of pages	4
ISBN (Electronic)	9781467382373
DOIs	https://doi.org/10.1109/ICOT.2015.7498512
State	Published - 22 Jun 2016
Event	3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong Duration: 19 Dec 2015 → 22 Dec 2015

Publication series

Name	Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Conference

Conference	3rd International Conference on Orange Technologies, ICOT 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	19/12/15 → 22/12/15

Keywords

facial analysis
facial landmark localization
nonverbal immersive communication

Access to Document

10.1109/ICOT.2015.7498512

Cite this

Wei, W., Tian, C., & Zhang, Y. (2016). A two-stage facial landmark localization method. In Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015 (pp. 157-160). Article 7498512 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2015.7498512

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title = "A two-stage facial landmark localization method",

abstract = "Facial expression analysis plays an important role in nonverbal immersive communications. Considering facial landmark localization is an essential part for facial expression analysis, it draws much attention. Since the accuracy of facial landmark localization is related with different expressions and is affected by the result of face detection, we propose a two-stage facial landmark localization method in this paper. First, a method which models face detection, facial alignment and expression recognition simultaneously is used to roughly locate the facial features/landmarks. Then a supervised descent method is used to refine the locations of facial features. Experimental results on the extend Cohn-Kanade database demonstrate that the proposed method has more accurate facial landmarks localization result.",

keywords = "facial analysis, facial landmark localization, nonverbal immersive communication",

author = "Wei Wei and Chunna Tian and Yanning Zhang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Conference on Orange Technologies, ICOT 2015 ; Conference date: 19-12-2015 Through 22-12-2015",

year = "2016",

month = jun,

day = "22",

doi = "10.1109/ICOT.2015.7498512",

language = "英语",

series = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "157--160",

booktitle = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",

}

Wei, W, Tian, C & Zhang, Y 2016, A two-stage facial landmark localization method. in Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015., 7498512, Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015, Institute of Electrical and Electronics Engineers Inc., pp. 157-160, 3rd International Conference on Orange Technologies, ICOT 2015, Hong Kong, Hong Kong, 19/12/15. https://doi.org/10.1109/ICOT.2015.7498512

A two-stage facial landmark localization method. / Wei, Wei; Tian, Chunna; Zhang, Yanning.
Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 157-160 7498512 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).

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

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T1 - A two-stage facial landmark localization method

AU - Wei, Wei

AU - Tian, Chunna

AU - Zhang, Yanning

PY - 2016/6/22

Y1 - 2016/6/22

N2 - Facial expression analysis plays an important role in nonverbal immersive communications. Considering facial landmark localization is an essential part for facial expression analysis, it draws much attention. Since the accuracy of facial landmark localization is related with different expressions and is affected by the result of face detection, we propose a two-stage facial landmark localization method in this paper. First, a method which models face detection, facial alignment and expression recognition simultaneously is used to roughly locate the facial features/landmarks. Then a supervised descent method is used to refine the locations of facial features. Experimental results on the extend Cohn-Kanade database demonstrate that the proposed method has more accurate facial landmarks localization result.

AB - Facial expression analysis plays an important role in nonverbal immersive communications. Considering facial landmark localization is an essential part for facial expression analysis, it draws much attention. Since the accuracy of facial landmark localization is related with different expressions and is affected by the result of face detection, we propose a two-stage facial landmark localization method in this paper. First, a method which models face detection, facial alignment and expression recognition simultaneously is used to roughly locate the facial features/landmarks. Then a supervised descent method is used to refine the locations of facial features. Experimental results on the extend Cohn-Kanade database demonstrate that the proposed method has more accurate facial landmarks localization result.

KW - facial analysis

KW - facial landmark localization

KW - nonverbal immersive communication

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T3 - Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

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BT - Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Orange Technologies, ICOT 2015

Y2 - 19 December 2015 through 22 December 2015

ER -

A two-stage facial landmark localization method

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