eigenfaces_test():
  MATLAB/Octave version 6.4.0
  Test eigenfaces().

imshow_numeric_test():
  imshow_numeric() displays a numeric MxN array as a grayscale image.
  In the best case, the array contains integers
  between 0 (black) and 255 (white).

imshow_numeric_test():
  Normal end of execution.

line_count_test():
  line_count() counts the lines in a file.

  Count the (10) lines in "s01_list.txt"

  Number of lines counted is 10

line_count_test():
  Normal end of execution.

pgm_display_test():
  pgm_display() reads and displays a binary PGM file.

pgm_display_test():
  Normal end of execution.

pgm_read_test():
  pgm_read() reads a binary PGM file.

pgm_read_test():
  Normal end of execution.

pgms_pack_test():
  pgms_pack() packs multiple PGM files into a single array.

  Packing files from the list "s01_list.txt"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

pgms_pack_test():
  Normal end of execution.

pc_vectors_test():
  PC_VECTORS computes principal component vectors.
  Pack multiple PGM files into a single array.
  Do principal component analysis.
  Display the PC vectors.

  Packing files from the list "s01_list.txt"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Confirm that the vectors are orthonormal:
  V' * V = I?

   1.0000e+00  -3.0358e-16   2.4720e-16  -2.2118e-16  -2.3072e-16
  -3.0358e-16   1.0000e+00  -1.9082e-17   1.3845e-16   1.4919e-16
   2.4720e-16  -1.9082e-17   1.0000e+00   1.7304e-16  -4.9440e-17
  -2.2118e-16   1.3845e-16   1.7304e-16   1.0000e+00   5.3741e-16
  -2.3072e-16   1.4919e-16  -4.9440e-17   5.3741e-16   1.0000e+00

pc_vectors_test():
  Normal end of execution.

pgm_project_test():
  Pack multiple PGM files into a single array.
  Generate a set of principal component vectors.
  Given one of those PGM files, reconstruct the image
  as a sum of the average plus projections onto vectors.
  Repeat for a PGM file that is NOT in the database.
PGM_PROJECT:

  Packing files from the list "s01_list.txt"
  Extracting average and 9 principal component vectors
  Projecting PGM data from file "s0103.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -2106.1
  2  -286.377
  3  -1151.83
  4  942.546
  5  -1947.07
  6  618.825
  7  197.054
  8  34.8283
  9  38.4802

PGM_PROJECT:

  Packing files from the list "s01_list.txt"
  Extracting average and 9 principal component vectors
  Projecting PGM data from file "s0203.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -1151.3
  2  -425.138
  3  -1359.86
  4  541.36
  5  208.516
  6  209.41
  7  -68.5654
  8  -76.4807
  9  310.032

pgm_project_test():
  Normal end of execution.

eigenfaces_test():
  Normal end of execution.