Ying Lin

Papers

Total Citations

H-Index

About

Ying Lin’s research lies at the intersection of 3D sensing, computer vision, and human-robot interaction, with a focus on calibration and motion analysis. Her most cited work, “Extrinsic calibration of a 3D LIDAR and a camera using a trihedron” (2012, 31 citations), introduced a practical method for aligning multimodal sensors—a critical step for autonomous systems and robotics. This contribution remains foundational for researchers working on sensor fusion in self-driving cars and 3D mapping. Lin also explored human motion understanding in dynamic environments, as seen in her 2017 paper on human motion correction and representation from moving cameras. Here, she tackled the challenge of separating object motion from camera motion—a persistent issue in human-computer interaction and intelligent robotics. By improving motion descriptors beyond basic optical flow, her work offers more accurate tracking in real-world scenes where both the subject and camera are in motion. Though her citation counts reflect a focused, early-stage impact, Lin’s contributions to sensor calibration and motion estimation provide practical tools for advancing autonomous perception and interactive systems.