Anyu Sun
Papers
1
Total Citations
4
H-Index
1
About
Anyu Sun is a researcher in computer vision and industrial automation, with a focus on geometric perception and 3D reconstruction from monocular imagery. Their most notable contribution is the development of a structure-from-motion (SfM) system tailored for industrial scenes, as detailed in their 2020 paper "Simultaneous identification of points and circles." This work addresses a critical challenge in manufacturing and robotics: accurately reconstructing environments where both point features and circular primitives (e.g., holes, flanges, or cylindrical objects) are prevalent. By jointly identifying and matching these geometric elements, Sun’s approach enhances the robustness and precision of 3D models in cluttered or texture-poor industrial settings. Though early in its citation trajectory, this paper has garnered 4 citations, signaling growing interest from researchers in automated inspection, augmented reality for maintenance, and factory-floor robotics. Sun’s work bridges the gap between classical computer vision geometry and real-world industrial applications, offering a practical solution for tasks like quality control and robot navigation. Their research continues to influence the development of more reliable, feature-rich SfM pipelines for non-ideal environments.
Research Focus
Key Achievements
Top Papers
- 1