Fengtian Huang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Fengtian Huang has made significant contributions to computer vision, particularly in the domain of image distortion correction for wide-angle and fisheye lenses. His most influential work, "A practical distortion correcting method from fisheye image to perspective projection image" (2015, 8 citations), addresses a critical challenge in robotic vision and visual surveillance: the severe geometric distortions produced by super-wide-angle lenses. Huang developed a practical, single-image correction method that leverages line features to transform distorted fisheye images into accurate perspective projections, eliminating the need for complex calibration patterns or multi-image processing. This approach has proven valuable for applications requiring real-time, robust image rectification in autonomous systems and surveillance. Beyond this core contribution, Huang's research portfolio encompasses broader work in image processing and geometric correction, where his methods prioritize computational efficiency and practical deployability. His citation record reflects the utility of his distortion correction technique among researchers working on camera calibration and visual perception. Huang's work continues to influence the development of more accessible and effective tools for correcting optical distortions in increasingly ubiquitous wide-angle camera systems.
Research Focus
Key Achievements
Top Papers
- 1