Zhijiang Zhang
Papers
2
Total Citations
28
H-Index
2
About
Zhijiang Zhang is a researcher whose work sits at the intersection of computer vision, 3D reconstruction, and optical metrology, with a particular focus on solving challenging problems in non-ideal imaging environments. His key research areas include stereo vision systems, depth sensing, and the reconstruction of difficult-to-scan materials. Zhang’s most notable contribution is his pioneering approach to scanning transparent objects—a notoriously difficult task for conventional RGB-D sensors, which typically fail on surfaces that do not reflect light accurately. In his highly cited 2017 paper (24 citations), he introduced a method that fuses depth and silhouette data to enable robust 3D reconstruction of transparent objects, a breakthrough with significant implications for industrial measurement, virtual reality, and robotics. Additionally, his 2018 work on non-parallel binocular stereo vision (4 citations) addresses a critical real-world limitation of standard stereo systems by combining linear and nonlinear methods to improve ranging accuracy when cameras are not perfectly aligned. Through these contributions, Zhang has advanced the practical deployment of vision systems in complex, real-world conditions, earning recognition for solving problems that lie at the frontier of modern sensing technology.
Research Focus
Key Achievements
Top Papers
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- 2