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Table 1 Data partition on FERET database for performing various experiments

From: Complementary feature sets for optimal face recognition

Set of experiment

Category

Training

Testing

Remarks

1

FERET_A1

One image of each person resulting in a total of 100 images

Remaining six images of each person in different pose variations, i.e., a total of 600 images

Seven different trials of this setup (as shown in Table 2) have been taken, and the recognition result given in Figure 3 is the average of all these trials

2

FERET_A2

One image of each person in frontal, i.e., 0° pose

Six remaining images having pose variations of ±22.5°, ±67.5°, and ±90°

Against the frontal pose image, all the images in different poses (≤ ± 90°) are taken for testing

3

FERET_A3

One image in frontal pose

Four images having pose variations of ±22.5° and ±67.5°

Testing the performance for small and large pose variation up to ±67.5°

4

FERET_A4

One image in frontal pose

Two images in ±67.5° pose angle

Testing the performance for large pose variation in the left and right directions

5

FERET_A5

One image in frontal pose

Two images in ±22.5° pose angle

Testing the performance for small pose variation in the left and right directions

6

FERET_B1

One image in frontal pose, i.e., the image labeled ‘ba’, is in the training set

Ten remaining images having illumination, expression, and pose (up to ±60°) variations, i.e., the images labeled bk, bj, bb, bc, bd, be, bf, bg, bh, and bi, are kept in the test set

Images consisting of all the three variations, i.e., illumination, expression, and pose (up to ±60°), are taken for testing against the frontal pose image. A total of 200 images are in the training set, and 2,000 images are in the test set

7

FERET_B2

Three random images of each person resulting in a total of 600 images

Remaining seven images of each person in different variations, i.e., 1,600 images

Ten different trials of this setup have been taken, and the recognition result (Table 3) is the average of all these trials

8

FERET_B3

One image of each person in frontal pose, i.e., the image labeled ‘ba,’ is in the training set and contains a maximum of 200 face images in it

Eight images of each person having pose variations (up to ±60°), i.e., the images labeled bb, bc, bd, be, bf, bg, bh, and bi, are kept in the test set resulting in a maximum of 1,600 images in it

This category consists of the images of 200 persons in 9 pose variations, from frontal to profile pose, resulting in a total of 1,800 images in it. In this category, the different experiments are carried out by varying the number of subjects (persons) in the database

9

FERET_Gallery/Probe

Standard gallery set fa contains 1,196 images of 1,196 subjects in frontal view

fafb, fc, dupI, and dupII

The images in the fafb (1,195 images) set are with facial expression variation, the fc (194 images) set contains images with illumination variation, and the images in the dupI (722 images) and dupII (234 images) sets represent aging effects