Harsh Sharma
Papers
1
Total Citations
6
H-Index
1
About
Harsh Sharma is a researcher specializing in computer vision and robotics, with a focus on 3D object recognition and pose estimation. His key contributions lie in developing marker-less approaches for detecting and estimating the six-degree-of-freedom (6D) pose of homogeneous, textureless objects using RGB-D data. His notable work, "Marker-Less 3D Object Recognition and 6D Pose Estimation for Homogeneous Textureless Objects: An RGB-D Approach" (2020), has garnered 6 citations, addressing a critical challenge in industrial automation—enabling low-cost consumer RGB-D cameras to perform reliable object recognition and pose estimation without requiring markers or distinct textures. This work is particularly impactful for small industrial businesses, democratizing access to advanced robotic vision systems. Sharma’s research bridges the gap between theoretical computer vision and practical, cost-effective solutions for manufacturing and logistics. His achievements highlight a commitment to making sophisticated 3D perception techniques accessible, paving the way for more efficient and affordable automation in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1