Mara Pistellato

Papers

Total Citations

H-Index

About

Dr. Mara Pistellato is a leading researcher in 3D geometric modeling and point cloud processing, with a primary focus on the automated extraction and estimation of cylindrical shapes from unstructured 3D data. Her work addresses a critical challenge in computer vision and robotics: robustly identifying cylinders—ubiquitous in both natural and man-made environments—from noisy, non-oriented point clouds. Dr. Pistellato’s major contributions include pioneering a clustering-based approach for cylinder extraction (2020, 23 citations) and developing a robust estimation method using pairwise axes similarities (2019, 10 citations). These innovations enable reliable shape detection for applications ranging from robot manipulation and reverse engineering to automated industrial inspection. By reframing cylinder fitting as a clustering problem, she has significantly improved accuracy and robustness over traditional methods. Her research has garnered notable attention, with her most-cited paper accumulating 23 citations—a strong impact for a specialized geometric processing topic. Dr. Pistellato’s work continues to influence the fields of 3D perception and computational geometry, providing foundational techniques that bridge the gap between raw sensor data and actionable geometric understanding.