Vishal Markandey
Papers
2
Total Citations
39
H-Index
2
About
Vishal Markandey’s research has been foundational in advancing robot sensing and 3D vision, particularly through the innovative application of moment invariants and tensors. His most influential work, “Robot sensing techniques based on high-dimensional moment invariants and tensors” (1992, 36 citations), generalizes moment invariants to n-dimensions, providing powerful tools for object identification and attitude determination in robotics. This contribution includes rigorous theoretical error analyses and experimental validation, establishing a framework that has informed subsequent work in machine perception. Earlier, Markandey developed a technique for 3-D robot vision tailored to space applications (1987, 3 citations), extending the MIAG algorithm to recognize and determine motion parameters of polyhedral objects using moment invariants as key features. Tested under simulated space conditions, this work demonstrated the practical viability of model-matching techniques in challenging environments. While his citation counts are modest, Markandey’s conceptual contributions—particularly the high-dimensional generalization of moment invariants—represent a notable achievement in the mathematical foundations of robot sensing, offering enduring value for researchers in computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A technique for 3-D robot vision for space applications3 citations · 1987