LBP Basic Algorithm and Variants Documentation

I have successfully implemented the basic LBP algorithm and its various variants using MATLAB, with all code running properly on my local machine. The implementation encompasses fundamental LBP operations including circular neighborhood sampling, uniform pattern classification, and rotation-invariant feature calculation. Additionally, I have conducted in-depth research on LBP algorithm variations and documented them thoroughly with code annotations and performance comparisons. My research primarily focuses on exploring how LBP algorithms can enhance the performance of facial recognition systems, where I've developed specific functions for facial feature extraction and matching score calculation. I have conducted a series of experiments testing different LBP parameters (radius, neighborhood points) and variants (uniform, rotation-invariant) on standard face datasets, followed by comprehensive analysis and summary of the experimental results. Furthermore, I am investigating the application of LBP algorithms in other domains such as image classification (using histogram-based feature vectors) and video analysis (with temporal LBP extensions). Overall, I have gained profound understanding of LBP algorithms and continue to explore their potential through code optimization and cross-domain applications.