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Found 11 papers, 0 papers with code
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
Use of 3-D CNN along with 2-D CNN have shown great success for learning spatial and spectral features.
Guidance system for Visually Impaired Persons using Deep Learning and Optical flow
To create such a system it is very important to know about the approaching object and its direction of approach.
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.
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.
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 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.
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.
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
Feature encoding is one of the important steps in Detection of 3D objects.
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain
This research field is termed as Compressed Domain Processing.
Feasibility of Principal Component Analysis in hand gesture recognition system
The experimental results show that PCA is feasible to be used for hand gesture recognition system.
