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Three dimensional face recognition using Iso-Geodesic and Iso-Depth curves
S. Jahanbin, H. Choi, Y. Liu and A. C. Bovik
IEEE International Conference on Biometrics: Theory, Applications and Systems
Abstract
In this paper a new framework for personal identity
verification using 3-D geometry of the face is introduced.
Initially, 3-D facial surfaces are represented by curves extracted
from facial surfaces (facial curves). Two alternative facial curves
are examined in this research: iso-depth and iso-geodesic curves.
Iso-depth curves are produced by intersecting a facial surface
with parallel planes perpendicular to the direction of gaze,
at different depths from the nose tip. An Iso-geodesic curve
is defined to be the locus of all points on the facial surface
having the same geodesic distance from a given facial landmark
(e.g. the nose tip). Once the facial curves are extracted, their
characteristics are encoded by several features like the shape
descriptors or polar Euclidean distances from the origin (nose
tip). The final step is to verify or disapprove requests from
users claiming the identity of registered individuals (gallery
members) by comparing their features using Euclidean distance
classifier or support vector machine (SVM). The performance
results of the identity verification experiments are reported and
a comparison is made between the two alternative curve-based
facial surface representations.
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