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face-reconstruction

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📸 Face Reconstruction using PCA 🎥 Face reconstruction demonstration from the Yale Faces dataset using Principal Component Analysis (PCA) in Python. Involves processing and standardizing image data, performing PCA, and visualizing the reconstruction process through a generated video, showcasing PCA's effectiveness in facial feature reconstruction.

  • Updated Jun 19, 2024
  • Jupyter Notebook

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.

  • Updated Sep 10, 2017
  • MATLAB

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