bytefish/opencv

Implements dimension reduction and feature extraction techniques for face recognition including PCA-based Eigenfaces and LDA-based Fisherfaces, plus variant Local Binary Pattern descriptors (circular, variance-based) for texture analysis. Provides C++ implementations of classical machine learning classifiers (SVM, k-NN, decision trees, naive Bayes) alongside custom colormap visualizations to improve OpenCV2 output rendering. Each module includes spatial histogram matching and chi-square distance metrics for practical computer vision tasks.

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