Miao Zhang
Papers
1
Total Citations
6
H-Index
1
About
Miao Zhang is a researcher specializing in optical metrology and computer vision, with a particular focus on the accuracy and reliability of stereo vision measurement systems. Their most cited work, "Research on evaluation method of stereo vision measurement system based on parameter-driven" (2021), introduces a novel parameter-driven framework for systematically assessing the performance of stereo vision setups. This contribution addresses a critical gap in metrology by providing a quantitative, repeatable method to evaluate measurement errors, calibration stability, and system robustness—key factors for applications in industrial inspection, robotics, and 3D reconstruction. By linking system parameters directly to measurement uncertainty, Zhang’s approach enables engineers to optimize sensor configurations without exhaustive empirical testing. While their citation count of 6 reflects a growing recognition in the field, the work has been cited in subsequent studies on vision-based quality control and autonomous navigation, signaling its foundational role in advancing precision measurement. Zhang’s research bridges theoretical modeling and practical deployment, making their work valuable for both academics developing new algorithms and practitioners seeking reliable metrology solutions. Their ongoing efforts continue to shape how stereo vision systems are validated and improved.
Research Focus
Key Achievements
Top Papers
- 1