Zhongfei Zhang

University at Buffalo, State University of New York

Papers

Total Citations

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About

Zhongfei Zhang is a pioneering researcher in computer vision and robotics, with a primary focus on 3D reconstruction, obstacle detection, and visual servoing for autonomous navigation. His most impactful work, "Obstacle detection based on qualitative and quantitative 3D reconstruction" (1997, 46 citations), introduced three distinct algorithms for mobile robot vision-based obstacle detection, each operating under different assumptions—ranging from qualitative yes/no obstacle presence to full quantitative 3D reconstruction. This foundational contribution advanced the field by offering flexible, scenario-adaptive solutions for robotic perception. In his dissertation, "Three-dimensional reconstruction under varying constraints on camera geometry for robotic navigation scenarios" (1996, 8 citations), Zhang systematically addressed the challenge of 3D reconstruction across diverse camera geometries, providing a general yet constrained framework for robotic navigation. His later work, "Visual servoing control of autonomous robot calibration and navigation" (1999, 6 citations), developed algorithms for external calibration and visual feedback control, enabling robots to maintain precise trajectories in structured environments. Zhang’s research bridges theoretical computer vision with practical robotics, offering robust tools for autonomous systems. His contributions remain influential for students and researchers working on robot perception, navigation, and real-time visual control.