Nose Biometrics

 


Description: Description: nose%20types Description: Description: 3D%20Nose

People:

  • Adrian Evans
  • Jiangning Gao
  • Mehryar Emambakhsh
  • Adrian Moorhouse

Background:

Noses are prominent facial features that provide fixation points for facial recognition and are relatively invariant to facial expression. However, their use as a biometric has received relatively little attention. Full 3D nose shape matching can be computationally expensive. Work at Bath has investigated the use of low dimensionality features, derived from 3D photometric images provided by our collaborators, for recognition.

Collaborators:

The Machine Vision Laboratory, University of the West of England

Publications:

         M. Emambakhsh, A.N. Evans and M. Smith, Using Nasal Curves Matching for Expression Robust 3D Nose Recognition, in Proc. IEEE Biometrics: Theory, Applications and Systems (BTAS 2013), October 2013.

         M. Emambakhsh and A.N. Evans, Self-dependent 3D Face Rotational Alignment Using the Nose Region, in Proc. IET 4th International Conference on Imaging for Crime Detection and Prevention (ICDP-11), November 2011.

         A. Moorhouse, A.N. Evans, G.A. Atkinson, J. Sun and M.L. Smith, The Nose on Your Face May Not be so Plain: Using the Nose as a Biometric, IET 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP-09), Kingston, UK, December 2009.

 


[Centre for Space, Atmospheric & Oceanic Science] Media Technology Research Centre