Xiuhong Liu
Papers
1
Total Citations
4
H-Index
1
About
Xiuhong Liu’s research centers on computer vision and image processing, with a particular focus on pattern recognition and object reconstruction under challenging visual conditions. Her most notable contribution is the development of illumination-invariant techniques for reconstructing Chinese chessboards from color images, a task complicated by varying lighting and complex backgrounds. In her 2009 paper, she introduced an innovative method combining binarized Gabor filters with the Hough transform to isolate and reconstruct chessboard lines directly from color imagery, bypassing traditional grayscale conversion that often loses critical detail. While her citation count is modest, this work demonstrates a creative, computationally efficient approach to a niche problem in cultural heritage and game analysis. Liu’s research bridges theoretical image processing with practical applications, offering a foundation for further work in robust pattern extraction. Her achievements highlight the value of targeted, domain-specific solutions in computer vision, and her methodology remains relevant for researchers tackling similar challenges in real-world image reconstruction.
Research Focus
Key Achievements
Top Papers
- 1