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Face Identification - Trabalho de Tópicos em Visão Computacional (Prof. David Menotti)

1. Implement codes to load the databases

  • ORL (AT&T) Database -- 10 subjects x 40 images, each one with 92x112 pixels and 256 grey levels
  • The Yale Face Database -- 15 subjects x 11 images, each one with 320 x 243 pixels

databases

2. Implement a function to compute the mean face for both databases

mean

3. Compute the first five eigenfaces for both databases

orl_eigenface yale_eigenface

4. Implement the Eigenface and Fisherface method

5. Use a cross-validation scheme of leave-one-"expression or lighting" for the Yace Face Database.

6. Use a ten-fold cross-validation scheme and report the mean an stand deviation accuracies for the ORL database.

7. Provide a runtime analysis for training and testing

runtimeanalysis

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