Like father, like son: Facial expression dynamics for kinship verification

Hamdi Dibeklioglu; Albert Ali Salah; Theo Gevers

doi:10.1109/ICCV.2013.189

Like father, like son: Facial expression dynamics for kinship verification

Hamdi Dibeklioglu, Albert Ali Salah, Theo Gevers

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

Abstract

Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013
Publisher	IEEE
Pages	1497-1504
Number of pages	8
ISBN (Print)	9781479928392
DOIs	https://doi.org/10.1109/ICCV.2013.189
Publication status	Published - 2013
Event	2013 14th IEEE International Conference on Computer Vision, ICCV 2013 - Sydney, NSW, Australia Duration: 1 Dec 2013 → 8 Dec 2013

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision

Conference

Conference	2013 14th IEEE International Conference on Computer Vision, ICCV 2013
Country/Territory	Australia
City	Sydney, NSW
Period	1/12/13 → 8/12/13

Keywords

Facial expression dynamics
Kinship verification
Smile dynamics

Access to Document

10.1109/ICCV.2013.189

Cite this

@inproceedings{a6e4215b86424752a2565883379dedd4,

title = "Like father, like son: Facial expression dynamics for kinship verification",

abstract = "Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles.",

keywords = "Facial expression dynamics, Kinship verification, Smile dynamics",

author = "Hamdi Dibeklioglu and Salah, {Albert Ali} and Theo Gevers",

year = "2013",

doi = "10.1109/ICCV.2013.189",

language = "English",

isbn = "9781479928392",

series = "Proceedings of the IEEE International Conference on Computer Vision",

publisher = "IEEE",

pages = "1497--1504",

booktitle = "Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013",

address = "United States",

note = "2013 14th IEEE International Conference on Computer Vision, ICCV 2013 ; Conference date: 01-12-2013 Through 08-12-2013",

}

Dibeklioglu, H, Salah, AA & Gevers, T 2013, Like father, like son: Facial expression dynamics for kinship verification. in Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013., 6751296, Proceedings of the IEEE International Conference on Computer Vision, IEEE, pp. 1497-1504, 2013 14th IEEE International Conference on Computer Vision, ICCV 2013, Sydney, NSW, Australia, 1/12/13. https://doi.org/10.1109/ICCV.2013.189

Like father, like son: Facial expression dynamics for kinship verification. / Dibeklioglu, Hamdi; Salah, Albert Ali; Gevers, Theo.
Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. IEEE, 2013. p. 1497-1504 6751296 (Proceedings of the IEEE International Conference on Computer Vision).

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

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N2 - Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles.

AB - Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles.

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T3 - Proceedings of the IEEE International Conference on Computer Vision

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BT - Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013

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Y2 - 1 December 2013 through 8 December 2013

ER -

Like father, like son: Facial expression dynamics for kinship verification

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Keywords

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