Twins 3D face recognition challenge

Vipin Vijayan, Kevin W. Bowyer, Patrick J. Flynn, Di Huang, Liming Chen, Mark Hansen, Omar Ocegueda, Shishir K. Shah, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

52 Scopus citations


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.

Original languageEnglish (US)
Title of host publication2011 International Joint Conference on Biometrics, IJCB 2011
StatePublished - 2011
Event2011 International Joint Conference on Biometrics, IJCB 2011 - Washington, DC, United States
Duration: Oct 11 2011Oct 13 2011

Publication series

Name2011 International Joint Conference on Biometrics, IJCB 2011


Conference2011 International Joint Conference on Biometrics, IJCB 2011
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • Biotechnology


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