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Found 10 papers, 2 papers with code
Local Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval
The major problem in increasing the local neighbourhood is that, it also increases the feature length of the descriptor.
Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval
Distinctive information captured by the kernel with limited number of pixel achieves satisfactory recognition and retrieval accuracies on facial images taken under constrained environment (controlled variations in light, pose, expressions, and background).
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval
Accuracy of these descriptors depends on the precision of mapping the relationship that exists in the local neighborhood of a facial image into microstructures.
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval
RTLNP exploits relationships amongst the pixels in local neighborhood of the reference pixel at different angular and radial widths.
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition
The proposed local directional gradient pattern (LDGP) is a 1D local micropattern computed by encoding the relationships between the higher order derivatives of the reference pixel in four distinct directions.
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval
In this paper a novel hand crafted cascaded asymmetric local pattern (CALP) is proposed for retrieval and recognition facial image.
A Novel Local Binary Pattern Based Blind Feature Image Steganography
The proposed scheme computes the local binary pattern to hide the bits of the secret image in such a way that the local relationship that exists in the cover are preserved in the resulting stego image.
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
It is widely used in several computer vision problems.
diffGrad: An Optimization Method for Convolutional Neural Networks
In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).
Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval
It is observed that the AB-ReLU outperforms the ReLU when used with a pre-trained VGGFace model over the face datasets.
