Yea‐Shuan Huang

Papers

Total Citations

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About

Yea-Shuan Huang is a researcher whose work bridges computer vision, robotics, and biometric recognition, with particular focus on enabling intelligent machines to perceive and interact with their environments. His research has made meaningful contributions to mobile robot localization, developing a composite mapping approach that integrates laser range finder data with visual information to achieve reliable spatial positioning — a technically demanding challenge in autonomous robotics. Huang has also dedicated significant effort to illumination compensation in face recognition, addressing one of the most persistent obstacles to reliable biometric identification across varying lighting conditions. This work, published in both 2011 and 2013, reflects a sustained commitment to improving the robustness of recognition systems used in security, surveillance, and human-computer interaction. His earlier work on companion robots, combining facial expression generation with face recognition capabilities across 12 degrees of freedom, demonstrates a compelling integration of social robotics and computer vision. With citations spanning multiple application domains — from autonomous navigation to intelligent human-machine interfaces — Huang's contributions represent a cohesive research vision centered on making robots and recognition systems more perceptive, adaptive, and practically deployable in real-world settings.