Yasir Salih

Universiti Teknologi Petronas, Petronas (Malaysia)

Papers

Total Citations

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About

Yasir Salih is a researcher whose work sits at the intersection of computer vision, 3D tracking, and human-robot interaction. His primary research areas include stochastic filtering methods, 3D reconstruction from single images, and gesture-based telerobotics. Salih’s most significant contribution is his novel method for computing absolute depth of field and geometry from a single 2D image using triangulation—a technique that bypasses the need for stereo cameras or prior scene knowledge, offering a practical solution for depth estimation with minimal input. This work, published in 2012, has garnered 26 citations and stands out for its simplicity and effectiveness. His 2011 paper on comparing stochastic filtering methods for 3D tracking, with 41 citations, remains his most cited work, providing a comprehensive evaluation of particle filters and Kalman filters for nonlinear tracking applications. Salih also explored 3D hand gesture recognition for telerobotics, enabling robots to mimic human gestures for remote manipulation of robotic arms. His research has practical implications for robotics, augmented reality, and autonomous systems, making his contributions valuable for students and researchers working on real-time 3D perception and human-robot collaboration.