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3 d face recognition using curvelet local features
1. IEEE 2014 MATLAB PROJECT
3-D FACE RECOGNITION USING CURVELET LOCAL FEATURES
ABSTRACT:
In this letter, we present a robust single modality feature-based algorithm for 3-D face
recognition. The proposed algorithm exploits Curvelet transform not only to detect salient points
on the face but also to build multi-scale local surface descriptors that can capture highly
distinctive rotation/displacement invariant local features around the detected keypoints. This
approach is shown to provide robust and accurate recognition under varying illumination
conditions and facial expressions. Using the well-known and challenging FRGC v2 dataset, we
report a superior performance compared to other algorithms, with a 97.83% verification rate for
probes with all facial expression.
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