Jasorsi Ghosh

Papers

Total Citations

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About

Jasorsi Ghosh is a researcher working at the intersection of computer vision and remote sensing, with a particular focus on 3D point cloud processing and LiDAR data analysis. Their most recognized contribution to the field is the 2019 paper "Fast Geometric Surface Based Segmentation of Point Cloud from Lidar Data," which has garnered 5 citations and addresses one of the fundamental challenges in autonomous systems and spatial computing — efficiently parsing dense, unstructured 3D data into meaningful geometric surfaces. This work demonstrates Ghosh's commitment to developing computationally efficient algorithms that can handle the complexity of real-world LiDAR acquisitions, a critical need in applications ranging from autonomous vehicles to urban mapping and environmental monitoring. By proposing a geometry-driven segmentation framework, Ghosh contributes to making LiDAR-based perception more scalable and practical. Though still building a citation record, their research speaks to a growing and highly relevant domain where advances in point cloud processing are increasingly essential to progress in robotics, smart infrastructure, and geospatial intelligence. Ghosh represents an emerging voice in 3D data understanding with promising directions ahead.