Fay Huang
Papers
3
Total Citations
12
H-Index
3
About
Fay Huang is a researcher whose work focuses on the intersection of computer vision, computer graphics, and 3D modeling, with a particular emphasis on panoramic imaging and camera calibration. Her key research areas include multi-scale 3D modeling, sensor-matrix calibration for panoramic cameras, and the geometric analysis of rotating line cameras. Huang’s major contributions lie in advancing the understanding and application of panoramic imaging systems, which are critical for fields like robotics, visualization, and 3D scene reconstruction. Her 2006 paper on "Multi-scale 3D-Modeling" has garnered 5 citations, while her 2010 work on "Rotating sensor-matrix camera calibration" has 4 citations, highlighting her role in refining calibration techniques for panoramic sensors. Additionally, her 2006 study on rotating line cameras, which explores epipolar geometry and spatial sampling, has 3 citations and provides foundational insights into how these cameras capture 3D scenes on cylindrical surfaces. Though her citation counts are modest, Huang’s work is notable for its technical depth and its contributions to the practical deployment of panoramic imaging in real-world applications. Her research continues to influence the development of more accurate and efficient 3D modeling and camera systems.
Research Focus
Key Achievements
Top Papers
- 1Multi-scale 3D-Modeling5 citations · 2006
- 2Rotating sensor-matrix camera calibration4 citations · 2010
- 3Rotating line cameras: Epipolar geometry and spatial sampling3 citations · 2006