Haiyuan Wu
Papers
2
Total Citations
6
H-Index
2
About
Haiyuan Wu is a leading researcher in computer vision and robotics, with a primary focus on camera calibration and sensor-less robotic systems. Her major contributions lie in developing innovative calibration techniques that eliminate the need for complex, large-scale calibration objects. Wu's seminal work, "Homography from Conic Intersection: Camera Calibration based on Arbitrary Circular Patterns" (2003), introduced a method using arbitrary circular patterns to compute homography, enabling precise calibration even in wide-area applications where traditional large calibration grids are impractical. This approach significantly simplifies the calibration process while maintaining high accuracy. Expanding on this, her 2009 paper "Robot Body Guided Camera Calibration: Calibration Using an Arbitrary Circle" presents a novel method for systems combining a sensor-less mobile robot with an external camera. This technique estimates focal length and viewing direction from a single image of an arbitrary circle on the robot's body, allowing the robot itself to serve as the calibration target. Though her highly specialized works have garnered modest citation counts of 3 each, they represent foundational advances in practical, real-world calibration for robotic vision systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2