43 citations · 92 across the 12 of their papers we have counts for
12 papers
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
In this paper a local pattern descriptor in high order derivative space is proposed for face recognition. The proposed local directional gradient pattern (LDGP) is a 1D local micro…
Local Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
In this paper a novel hand crafted local quadruple pattern (LQPAT) is proposed for facial image recognition and retrieval. Most of the existing hand-crafted descriptors encodes onl…
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
Feature description is one of the most frequently studied areas in the expert systems and machine learning. Effective encoding of the images is an essential requirement for accurat…
Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
Facial features are defined as the local relationships that exist amongst the pixels of a facial image. Hand-crafted descriptors identify the relationships of the pixels in the loc…
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
Local descriptors used in face recognition are robust in a sense that these descriptors perform well in varying pose, illumination and lighting conditions. Accuracy of these descri…
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval
Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty
In this paper R-Theta Local Neighborhood Pattern (RTLNP) is proposed for facial image retrieval. RTLNP exploits relationships amongst the pixels in local neighborhood of the refere…
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
Md Afzal Ansari, Md Meraz, Pavan Chakraborty +1
In this paper, we present new feature encoding methods for Detection of 3D objects in point clouds. We used a graph neural network (GNN) for Detection of 3D objects namely cars, pe…
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain
Mohammed Javed, MD Meraz, Pavan Chakraborty
Automatic processing of 3D Point Cloud data for object detection, tracking and segmentation is the latest trending research in the field of AI and Data Science, which is specifical…
Feasibility of Principal Component Analysis in hand gesture recognition system
Tanu Srivastava, Raj Shree Singh, Sunil Kumar +1
Nowadays actions are increasingly being handled in electronic ways, instead of physical interaction. From earlier times biometrics is used in the authentication of a person. It rec…
A review on cloud robotics based frameworks to solve simultaneous localization and mapping (slam) problem
Rajesh Doriya, Paresh Sao, Vinit Payal +2
Cloud Robotics is one of the emerging area of robotics. It has created a lot of attention due to its direct practical implications on Robotics. In Cloud Robotics, the concept of cl…
Rescue Robotics in Bore well Environment
Manish Raj, P. Chakraborty, G. C. Nandi
A technique for rescue task in bore well environment has been proposed. India is facing a distressed cruel situation where in the previous years a number of child deaths have been…
Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement
Vijay Bhaskar Semwal, S. A. Katiyar, P. Chakraborty +1
The present research as described in this paper tries to impart how imitation based learning for behavior-based programming can be used to teach the robot. This development is a bi…