Joongrock Kim

Papers

Total Citations

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About

Joongrock Kim is a researcher whose work bridges the critical gap between 2D and 3D vision systems, with a primary focus on multimodal sensor fusion and its applications in human-computer interaction. His most cited work, "Registration method between ToF and color cameras for face recognition" (2011), addresses a fundamental challenge in 3D imaging: accurately aligning depth data from Time-of-Flight sensors with conventional color imagery. This contribution is pivotal for enhancing 3D face recognition, which leverages depth information to overcome limitations of traditional 2D systems, such as sensitivity to pose variation and changing lighting conditions. By enabling robust registration, Kim’s research has direct implications for fields ranging from robot vision and car navigation to secure biometric authentication. While his citation count of 3 reflects a focused technical audience, the foundational nature of his work supports broader advances in 3D sensing and real-world deployment of depth-aware systems. Kim’s contributions exemplify the essential engineering behind making 3D data practical for reliable, real-time applications.