… performance for use in our face recognition application. In this paper, we propose a novel
pattern descriptor, called local vector pattern (LVP), for use in face recognition. We mainly aim …

… (LVP) in high-order derivative space is presented for face recognition. The proposed vector
… local derivative directions from the n th -order LVP in (n − 1)th -order derivative space. The …

… for hyperspectral face recognition, … derivative pattern, our method encodes the hyperspectral
faces with multi-directional derivatives and binarization function in spatial-spectral space. …

A novel biometric face recognition algorithm using depth … discriminative face image descriptor
called bag of dense derivative … spatial derivatives to encode the 3-D local structure; 2) face-…

… a new derivative sparse representation approach for face and texture recognition using
short… segments by computing spatiotemporal directional derivatives in a cylinder neighborhood …

… space. In practice, however, this n1 ×n2-dimensional space is too large to allow robust and
fast face recognition. Pre… approximation to the second derivative operator, summed over all …

In this paper, we propose a multi-modal 2D + 3D face recognition method for a … face
representation. As for feature extraction, we propose a new feature called Complete Local Derivative …

… for 3D face recognition, to handle various facial challenges. … first research regarding 3D
face recognition that makes a sub-… , “Face recognition by exploring information jointly in space, …

… pattern variations are modeled by relatively simplistic single Gaussian distribution in the
face space. For more realistic and satisfactory modeling, Gaussian mixture models (GMM) is …

… space. In practice, however, these n  m-dimensional spaces are too large to allow robust
and fast face recognition. … The complete derivation and theoretical justifications of LPP can be …