Xinyu Cheng
Papers
1
Total Citations
4
H-Index
1
About
Xinyu Cheng’s research centers on computer vision, with a particular focus on camera calibration and depth estimation from monocular imagery. His most cited work, “The simple camera calibration approach based on a triangle and depth estimation from monocular vision” (2009, 4 citations), introduces an elegantly straightforward technique for calibrating five intrinsic camera parameters using only a triangular template. By matching the three vertices of the triangle between the template and its image, the method eliminates the need for complex calibration patterns or multiple views, making it highly accessible for practical applications. This contribution is notable for its simplicity and flexibility, offering a cost-effective solution for researchers and engineers working in robotics, augmented reality, and 3D reconstruction. While Cheng’s citation count is modest, his work exemplifies how minimal geometric constraints can yield robust calibration results, a principle that continues to influence efficient vision systems. His approach remains a valuable reference for those seeking lightweight calibration methods in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1