TY - JOUR
T1 - Three-dimensional face recognition
AU - Bronstein, Alexander M.
AU - Bronstein, Michael M.
AU - Kimmel, Ron
N1 - Funding Information:
∗This research was partially supported by Dvorah Fund of the Tech-nion, the Bar Nir Bergreen Software Technology Center of Excellence and the Technion V.P.R. Fund—E. and J. Bishop Research Fund.
PY - 2005/8
Y1 - 2005/8
N2 - An expression-invariant 3D face recognition approach is presented. Our basic assumption is that facial expressions can be modelled as isometries of the facial surface. This allows to construct expression-invariant representations of faces using the bending-invariant canonical forms approach. The result is an efficient and accurate face recognition algorithm, robust to facial expressions, that can distinguish between identical twins (the first two authors). We demonstrate a prototype system based on the proposed algorithm and compare its performance to classical face recognition methods. The numerical methods employed by our approach do not require the facial surface explicitly. The surface gradients field, or the surface metric, are sufficient for constructing the expression-invariant representation of any given face. It allows us to perform the 3D face recognition task while avoiding the surface reconstruction stage.
AB - An expression-invariant 3D face recognition approach is presented. Our basic assumption is that facial expressions can be modelled as isometries of the facial surface. This allows to construct expression-invariant representations of faces using the bending-invariant canonical forms approach. The result is an efficient and accurate face recognition algorithm, robust to facial expressions, that can distinguish between identical twins (the first two authors). We demonstrate a prototype system based on the proposed algorithm and compare its performance to classical face recognition methods. The numerical methods employed by our approach do not require the facial surface explicitly. The surface gradients field, or the surface metric, are sufficient for constructing the expression-invariant representation of any given face. It allows us to perform the 3D face recognition task while avoiding the surface reconstruction stage.
KW - Expression-invariant 3D face recognition
KW - Facial expressions
KW - Isometry invariant
KW - Multidimensional scaling
UR - http://www.scopus.com/inward/record.url?scp=21544452792&partnerID=8YFLogxK
U2 - 10.1007/s11263-005-1085-y
DO - 10.1007/s11263-005-1085-y
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AN - SCOPUS:21544452792
SN - 0920-5691
VL - 64
SP - 5
EP - 30
JO - International Journal of Computer Vision
JF - International Journal of Computer Vision
IS - 1
ER -