Jiying Yin
Papers
1
Total Citations
4
H-Index
1
About
Jiying Yin is a researcher whose work lies at the intersection of computer vision and image processing, with a particular focus on the computational reconstruction of structured visual environments. Her most notable contribution, detailed in her 2009 paper "Illumination invariant Chinese chessboard reconstruction based on color image," introduces a novel method that combines binarized Gabor filters with the Hough transform to accurately reconstruct a Chinese chessboard directly from a color image. This approach is distinguished by its robustness to varying illumination conditions, a common challenge in real-world imaging. By applying Gabor transforms to the original color image, Yin’s method selectively retains only the lines of interest, enabling precise board detection without the need for complex preprocessing. While her work has garnered over 4 citations, its significance lies in its practical application to cultural heritage preservation and automated game analysis. Yin’s research demonstrates a clever fusion of classical image processing techniques with modern computational efficiency, offering a reliable solution for reconstructing patterned surfaces under non-ideal lighting. Her contributions continue to inspire further exploration into illumination-invariant visual recognition systems.
Research Focus
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Top Papers
- 1