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Using nasal curves matching for expression robust 3D nose recognition

Emambakhsh, Mehryar; Evans, A.; Smith, Melvyn


Mehryar Emambakhsh

A. Evans

Melvyn Smith
Research Centre Director Vision Lab/Prof


The development of 3D face recognition algorithms that
are robust to variations in expression has been a challenge
for researchers over the past decade. One approach to this
problem is to utilize the most stable parts on the face surface. The nasal region’s relatively constant structure over various expressions makes it attractive for robust recognition. In this paper, a new recognition algorithm is introduced that is based on features from the three dimensional shape of nose. After denoising, face cropping and alignment, the nose region is cropped and 16 landmarks
robustly detected on its surface. Pairs of landmarks are
connected, which results in 75 curves on the nasal surface;
these curves form the feature set. The most stable curves
over different expressions and occlusions due to glasses are
selected using forward sequential feature selection (FSFS).
Finally, the selected curves are used for recognition. The
Bosphorus dataset is used for feature selection and FRGC
v2.0 for recognition. The results show highest recognition
ranks than any previously obtained using the nose region:
1) 82.58% rank-one recognition rate using only two
training samples with varying expression, for 505 different
subjects and 4879 samples; 2) 90.01% and 80.01%
when Spring2003 is used for training and Fall2003 and
Spring2004 for testing in the FRGC v2.0 dataset, for neutral
and varying expressions, respectively.

Presentation Conference Type Conference Paper (unpublished)
Start Date Sep 29, 2019
Publication Date Sep 29, 2013
Journal Proceeding of the Biometrics: Theory, Applications and Systems 2013
Peer Reviewed Peer Reviewed
Institution Citation Emambakhsh, M., Evans, A., & Smith, M. (2019, September). Using nasal curves matching for expression robust 3D nose recognition. Paper presented at IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS2013)
Keywords nose recognition, nasal curves
Additional Information Title of Conference or Conference Proceedings : IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS2013)


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