K. V. Suresh

Sri Siddhartha Medical College, Siddaganga Institute of Technology

Papers

Total Citations

H-Index

About

K. V. Suresh is a computer vision researcher whose work focuses on human detection, tracking, and gesture recognition, with particular emphasis on depth-based and 3D analysis. His most cited paper, "HOG-PCA descriptor with optical flow based human detection and tracking" (2014, 9 citations), introduced a novel approach combining Histogram of Oriented Gradients with Principal Component Analysis and optical flow, addressing the challenging task of automated detection in video surveillance and human-machine interaction. Suresh has made significant contributions to 3D reconstruction through his work on "3D Point Cloud Registration using A-KAZE Features and Graph Optimization" (2019, 4 citations), which advanced the processing of depth data from active and passive sensors. His recent research explores hand gesture recognition, including depth-based segmentation (2022, 4 citations) and recognition in complex backgrounds (2022, 2 citations), demonstrating his sustained focus on practical computer vision applications. With cumulative citations approaching 20, Suresh's work spans from foundational detection algorithms to cutting-edge 3D modeling, making his research valuable for students and practitioners in robotics, augmented reality, and intelligent surveillance systems.