K. N. Balasubramanya Murthy

Papers

Total Citations

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About

K. N. Balasubramanya Murthy is a researcher specializing in computer vision, biometric systems, and human-robot interaction, with a particular focus on developing robust face recognition frameworks for intelligent robotic applications. Their work addresses one of the most persistent challenges in automated systems: achieving reliable facial identification under real-world conditions such as varying pose, illumination, and viewpoint. Murthy's most recognized contribution is an ORB-based face recognition framework tailored for Human-Robot Interaction, which has garnered 13 citations since its publication in 2018, reflecting meaningful engagement from the robotics and computer vision communities. This work demonstrates a commitment to efficiency and practicality, prioritizing techniques that perform well within the computational constraints of service robots operating in dynamic environments. Beyond HRI, Murthy has extended this expertise to robotic surveillance systems, proposing innovative approaches including SPHORB-based descriptors and SSIM combined with spectral clustering for pose-invariant recognition. These contributions collectively address critical cybersecurity and authentication challenges in an increasingly automated world. With multiple publications in 2018 alone, Murthy demonstrates a focused and productive research trajectory at the intersection of biometrics, robotics, and intelligent security systems, offering valuable tools for both academic advancement and real-world deployment.