N. C. Dayananda Kumar

Tumkur University, Sri Siddhartha Medical College

Papers

Total Citations

H-Index

About

N. C. Dayananda Kumar is a computer vision researcher whose work spans hand gesture recognition, human detection and tracking, and 3D point cloud registration. His most-cited paper, "CNN based Static Hand Gesture Recognition using RGB-D Data" (2022, 12 citations), advances non-verbal communication technologies for applications in sign language recognition and human-computer interaction. His earlier work, "HOG-PCA descriptor with optical flow based human detection and tracking" (2014, 9 citations), addresses key challenges in automated surveillance and robotics by improving object detection and tracking accuracy. In "3D Point Cloud Registration using A-KAZE Features and Graph Optimization" (2019, 4 citations), Kumar tackles the complex task of 3D reconstruction, leveraging depth data from active and passive sensors for applications in facial and environmental modeling. Collectively, his research demonstrates a consistent focus on integrating traditional feature extraction methods with modern deep learning and optimization techniques. With over 25 total citations, Kumar’s contributions provide practical solutions for real-world systems in surveillance, assistive technology, and 3D modeling, making his work relevant for students and researchers interested in bridging classical and contemporary computer vision approaches.