Procedure

1. Use the cropped, non-smiling students to compute 6 eigenfaces.
2. Use the same set of images to compute a userbase.
3. Have the program verify the cropped, smiling student images in the smiling userbase. Test by verifying each student against his or her smiling face, as well as each student against a smiling face which is of someone else.
4. Experiment with various thresholds to find the one that gives the fewest false positives and fewest false negatives

Questions

1. What MSE thresholds did you try? Which one worked best? What search method did you use to find it?
2. Using the best MSE threshold, what was the false negative rate? What was the false positive rate?