Yeong Khing Ho

Papers

Total Citations

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About

Yeong Khing Ho’s research bridges the critical gap between computer vision and robotics, with a focus on robust geometric matching and constrained dynamic systems. In his influential 2000 work, “Rejection of mismatched correspondences along the affine epipolar line,” Ho advanced stereo vision by developing a method to filter out false point correspondences using affine geometry, a technique that has garnered 10 citations for its practical utility in 3D reconstruction. His equally notable contribution, “Modelling of constrained robot system with constraint uncertainties,” proposes a novel dynamic model that accounts for inaccuracies in the mathematical description of rigid constraining surfaces—represented by algebraic functions—enabling more reliable robot control in uncertain environments. This work, with 7 citations, addresses a fundamental challenge in automation and precision manufacturing. Ho’s research is characterized by its dual impact: improving the accuracy of visual perception systems while enhancing the robustness of robotic manipulation. His achievements demonstrate a keen ability to solve real-world problems at the intersection of geometry, uncertainty, and control, making his contributions valuable for students and researchers in autonomous systems and machine vision.