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On the potential for facial attractiveness as a soft biometric

On the potential for facial attractiveness as a soft biometric
On the potential for facial attractiveness as a soft biometric
This paper describes the first study on whether human facial attrac-tiveness can be used as a soft biometric feature. By using comparative soft bio-metrics, with ranking and classification, we show that attractiveness does have the capability to be used within a recognition framework using crowdsourcing, by using groups from the LFW dataset. In this initial study, the Elo rating system is employed to rank subjects’ facial attractiveness based on the comparative de-scriptions. We will show how facial attractiveness attributes can be exploited for identification purposes and can be described in the same way and can add to per-formance of comparative soft biometrics attributes. Attractiveness does not ap-pear to be as powerful as gender for recognition. It does however increase recog-nition capability and it is interesting that a perceptual characteristic can improve performance in this way.
Comparative Soft Biometrics, face recognition, Facial Attractive-ness, Facial Attributes, Ranking.
Alnamnakani, Moneera, Habeeb
2b25ae04-fba2-43c3-8d91-add71e2718c5
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Alnamnakani, Moneera, Habeeb
2b25ae04-fba2-43c3-8d91-add71e2718c5
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Alnamnakani, Moneera, Habeeb, Mahmoodi, Sasan and Nixon, Mark (2019) On the potential for facial attractiveness as a soft biometric. 14th International Symposium on Visual Computing, Lake Tahoe, United States. 07 - 09 Oct 2019. 12 pp . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes the first study on whether human facial attrac-tiveness can be used as a soft biometric feature. By using comparative soft bio-metrics, with ranking and classification, we show that attractiveness does have the capability to be used within a recognition framework using crowdsourcing, by using groups from the LFW dataset. In this initial study, the Elo rating system is employed to rank subjects’ facial attractiveness based on the comparative de-scriptions. We will show how facial attractiveness attributes can be exploited for identification purposes and can be described in the same way and can add to per-formance of comparative soft biometrics attributes. Attractiveness does not ap-pear to be as powerful as gender for recognition. It does however increase recog-nition capability and it is interesting that a perceptual characteristic can improve performance in this way.

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Moneera_FacialAttractivenessSoftBiometrics - Accepted Manuscript
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OnThePotentialForFacialAttractivenessAsSoftBiometrics - Accepted Manuscript
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Accepted/In Press date: 20 August 2019
Venue - Dates: 14th International Symposium on Visual Computing, Lake Tahoe, United States, 2019-10-07 - 2019-10-09
Keywords: Comparative Soft Biometrics, face recognition, Facial Attractive-ness, Facial Attributes, Ranking.

Identifiers

Local EPrints ID: 433572
URI: https://eprints.soton.ac.uk/id/eprint/433572
PURE UUID: a29a77a8-bc6a-4421-a1cd-b009af0903b3
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 28 Aug 2019 16:30
Last modified: 12 Sep 2019 00:40

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Contributors

Author: Moneera, Habeeb Alnamnakani
Author: Sasan Mahmoodi
Author: Mark Nixon ORCID iD

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