Twins 3D face recognition challenge

Vijayan, V; Bowyer, K W; Flynn, P J; Huang, D S; Chen, L; Hansen, Mark F; Ocegueda, O; Shah, S K; Kakadiaris, I

Abstract

Existing 3D face recognition algorithms have achieved high enough performances against public datasets like FRGC v2, that it is difficult to achieve further significant increases in recognition performance. However, the 3D TEC dataset is a more challenging dataset which consists of 3D scans of 107 pairs of twins that were acquired in a single session, with each subject having a scan of a neutral expression and a smiling expression. The combination of factors related to the facial similarity of identical twins and the variation in facial expression makes this a challenging dataset. We conduct experiments using state of the art face recognition algorithms and present the results. Our results indicate that 3D face recognition of identical twins in the presence of varying facial expressions is far from a solved problem, but that good performance is possible.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: International Joint Conference on Biometrics
• Start Date: Oct 11, 2011
• End Date: Oct 13, 2011
• Publication Date: Oct 1, 2011
• Peer Reviewed: Peer Reviewed
• Pages: 1-7
• Keywords: 3D TEC dataset , FRGC v2 , neutral expression , public datasets , smiling expression , twins 3D face recognition challenge
• Public URL: https://uwe-repository.worktribe.com/output/958872
• Publisher URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6117491
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