Michael Rubinstein

Google (United States), Microsoft (United States)

Papers

Total Citations

200

H-Index

About

Michael Rubinstein is a leading researcher in computer vision and computational imaging, best known for pioneering the field of **visual vibrometry**. His major contributions center on extracting physical properties of objects from subtle, often imperceptible motions in video. In his landmark 2015 paper, *Visual Vibrometry: Estimating Material Properties from Small Motions in Video* (122 citations), Rubinstein connected vibration mechanics with vision techniques to infer material properties like stiffness and damping from tiny vibrations. A follow-up 2016 paper (78 citations) further refined these methods, demonstrating applications in scene understanding, robotics, and structural engineering. By making the invisible visible, Rubinstein’s work has opened new avenues for non-contact material analysis, with impact spanning from autonomous systems to civil infrastructure monitoring. His research exemplifies how computational tools can reveal physical dynamics hidden to the naked eye, inspiring a generation of students and researchers to explore the intersection of vision, physics, and engineering.