Kilho Son
Papers
1
Total Citations
27
H-Index
1
About
Kilho Son is a researcher specializing in computer vision, depth sensing, and robotic perception, with a particular focus on the challenges of Time-of-Flight (ToF) imaging technology. His work addresses one of the fundamental limitations of ToF cameras — multipath distortion — which occurs when modulated light signals interact with complex scenes, corrupting the depth information captured in range images. Rather than pursuing traditional model-based solutions, Son has championed learning-based approaches to tackle this inherently complicated problem, demonstrating a forward-thinking methodology that bridges machine learning and robotics. His most notable contribution, "Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup" (2016), has garnered 27 citations, reflecting its relevance to the robotics and computer vision communities. By framing the distortion removal problem within a robotic arm context, Son's research has direct practical implications for industrial automation and robotic manipulation, where accurate depth perception is critical. His work exemplifies the growing trend of applying data-driven techniques to solve sensor-level imperfections, making high-fidelity 3D sensing more accessible and reliable for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1