V. B. Surya Prasath
Papers
2
Total Citations
36
H-Index
2
About
V. B. Surya Prasath is a leading researcher in computer vision, medical image analysis, and multi-sensor data fusion. His work bridges the gap between heterogeneous sensor networks and robust 3-D reconstruction, with a focus on uncertainty modeling and probabilistic frameworks. His most-cited paper, "Heterogeneous Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration with Uncertainty Modeling" (2016, 27 citations), provides a comprehensive review of 3-D reconstruction techniques while introducing a novel registration method that accounts for geometric and transformation uncertainties using inertial planes. This work has become a foundational reference for researchers working on multi-view fusion and augmented reality. Building on this, his 2017 paper "A Probabilistic Fusion Framework for 3-D Reconstruction Using Heterogeneous Sensors" (9 citations) proposes a robust framework for integrating inertial and image data, with applications in smart-room implementations, robotics, and human behavior understanding. Prasath’s contributions are distinguished by their rigorous mathematical treatment of uncertainty, making his methods highly reliable for real-world sensor fusion challenges. His research continues to influence advancements in autonomous systems, medical imaging, and immersive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2