Manigandan Muniraj
Papers
2
Total Citations
45
H-Index
2
About
Dr. Manigandan Muniraj is a computer vision researcher whose work bridges human-computer interaction and autonomous perception. His early, highly influential research introduced a wireless vision-based mobile robot control system using hand gesture recognition through perceptual color spaces like HSI, HSV, and HSL. This foundational work, which has garnered 42 citations, addressed a critical challenge in intuitive human-robot interaction by enabling natural, real-time gesture commands without cumbersome hardware. More recently, Dr. Muniraj has advanced the field of 3D spatial understanding with his work on real-time 3D bounding box estimation. His 2024 paper, which has already accumulated 3 citations, presents a novel method combining RCNN-Resnet101 with adaptive projection matrices. This contribution is vital for applications demanding precise object localization, including autonomous driving, robotics, and augmented reality. By tackling the computational demands of 3D estimation, his work helps make real-time, accurate spatial awareness more accessible. Dr. Muniraj’s research trajectory—from intuitive gesture control to robust 3D perception—demonstrates a consistent focus on enabling machines to interact with and understand their environment more naturally and efficiently.
Research Focus
Key Achievements
Top Papers
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