Stephen Pollard
Papers
8
Total Citations
126
H-Index
6
About
Stephen Pollard is a computer vision and robotics researcher whose career has centered on developing practical 3D vision systems for industrial and autonomous applications. He is best known as a principal contributor to TINA, the Sheffield Artificial Intelligence Vision Research Unit (AIVRU) vision system, which became a landmark achievement in applied computer vision during the late 1980s and early 1990s. TINA demonstrated sophisticated model-based object recognition and localization, and its successful guidance of a robotic arm in pick-and-place tasks proved the real-world viability of machine vision for robotics—work that has accumulated dozens of citations and remains foundational in the field. Pollard's research extended naturally into stereo vision, multiprocessor vision architectures, and autonomous guided vehicles, reflecting a sustained commitment to bridging theoretical vision science with engineering practice. More recently, he has contributed to the calibration and correction of 3D structured light scanners (2021) and kinematic calibration techniques for multi-degree-of-freedom robotic manipulators, demonstrating an enduring focus on measurement accuracy and precision robotics. Across more than three decades, his cumulative body of work has shaped how researchers and engineers approach 3D scene understanding, robotic guidance, and vision-based automation.
Research Focus
Key Achievements
Top Papers
- 1Geometrical Modeling from Multiple Stereo Views32 citations · 1989
- 2TINA: a 3D vision system for pick and place25 citations · 1988
- 3Mapping and correcting the distortion of 3D structured light scanners22 citations · 2021
- 4TINA: the sheffield AIVRU vision system19 citations · 1987
- 5Multiprocessor 3D vision system for pick and place11 citations · 1991
- 6TINA: A 3D Vision System for Pick and Place10 citations · 1987
- 7
- 8Developing a stereo vision system for control of an AGV2 citations · 1991