3D face recognition

I. Kakadiaris, G. Passalis, G. Toderici, N. Murtuza, T. Theoharis

Research output: Contribution to conferencePaperpeer-review

18 Scopus citations


In this paper, we present a new 3D face recognition approach. Full automation is provided through the use of advanced multi-stage alignment algorithms, resilience to facial expressions by employing a deformable model framework, and invariance to 3D capture devices through suitable preprocessing steps. In addition, scalability in both time and space is achieved by converting 3D facial scans into compact wavelet metadata. We present results on the largest known, and now publicly-available, Face Recognition Grand Challenge 3D facial database consisting of several thousand scans. To the best of our knowledge, our approach has achieved the highest accuracy on this dataset.

Original languageEnglish (US)
Number of pages10
StatePublished - 2006
Event2006 17th British Machine Vision Conference, BMVC 2006 - Edinburgh, United Kingdom
Duration: Sep 4 2006Sep 7 2006


Conference2006 17th British Machine Vision Conference, BMVC 2006
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


Dive into the research topics of '3D face recognition'. Together they form a unique fingerprint.

Cite this