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Automated facial feature detection and face recognition using gabor features on range and potrait images
S. Jahanbin, H. Choi, R. Jahanbin and A. C. Bovik
IEEE International Conference on Image Processing
Abstract
In this paper, we present a novel identity verification system
based on Gabor features extracted from range (3D) representations
of faces. Multiple landmarks (fiducials) on a face
are automatically detected using these Gabor features. Once
the landmarks are identified, the Gabor features on all fiducials
of a face are concatenated to form a feature vector for
that particular face. Linear discriminant analysis (LDA) is
used to reduce the dimensionality of the feature vector while
maximizing the discrimination power. These novel features
were tested on 1196 range images. The same features were
also extracted from portrait images, and the accuracies of both
modalities were compared. A superior verification accuracy
was obtained using the range data, and a highly competitive
accuracy to that of other techniques in the literature was also
obtained for the portrait data.
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