Seungkyu Lee

Kyung Hee University, Samsung (South Korea)

Papers

Total Citations

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About

Seungkyu Lee is a leading researcher in computational imaging and 3D computer vision, with a focus on depth-sensing technologies. His work centers on the development and application of time-of-flight (ToF) and structured light depth cameras, addressing key challenges in 3D geometry acquisition for robotics, computer vision, and graphics. Lee’s major contributions include pioneering methods for imaging through translucent objects, as demonstrated in his 2015 study on skewed stereo ToF cameras (16 citations), and comprehensive evaluations of depth sensor performance under radiometric and geometric variations (7 citations). His 2012 work on depth camera image processing and applications (12 citations) has been instrumental in advancing gesture recognition, 3D reconstruction, and robot localization. With a cumulative citation impact exceeding 35, Lee’s research bridges the gap between sensor hardware limitations and practical deployment, enabling more robust and accurate 3D sensing in real-world environments. His notable achievements include advancing the understanding of depth sensor calibration and noise characteristics, which are foundational for modern autonomous systems and interactive technologies.