Shivaprasad Boora

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Shivaprasad Boora is a researcher whose work bridges computer vision and autonomous systems, with a primary focus on 3D image reconstruction and spatial perception. His most cited paper, "3D image reconstruction from multiview images" (2017, 4 citations), introduces an efficient method for generating 3D point clouds from arbitrary numbers of object views—a foundational technique for modern autonomous vehicles and robotics. This work directly addresses the limitations of expensive LIDAR systems, which rely on laser scanners for direct 3D measurements, by offering a cost-effective, vision-based alternative. Boora’s contributions are particularly significant in the context of advancing perception systems for self-driving cars and robots, where accurate 3D mapping is critical. Though his citation count reflects a focused, early-stage impact, his research demonstrates practical relevance in an era where autonomous navigation demands robust, scalable solutions. By exploring multiview geometry and reconstruction algorithms, Boora has laid groundwork that could reduce reliance on hardware-intensive sensors, making 3D sensing more accessible. His work stands as a testament to the ongoing evolution of computer vision techniques that power tomorrow’s intelligent machines.