FACE RECOGNITION AND VIDEO FACE TRACKING Deepa ...

EigenFaceComputation Java class [9] that in turn uses the linear algebra methods to
compute Eigen values and Eigen vectors by JAMA, a Java Matrix package [10].
We need to prepare training set first in order to run the program. Training set
preparation involves following steps:
Firstly, sixteen different photographs showing the face are captured in a digital
camera and uploaded to the computer. Using photo editor, the color images are converted
to gray scale images. Then all the images are resized to the resolution of 320 X 240 pixels.
The training images are named as 1.jpeg, 2.jpeg…..16.jpeg and copied to a folder named
“EigenfacesDB” in the same folder where the program is going to be run. Also, capture
some test input images that will be used for comparing against the training database. Test
images are also subjected to the same steps as described in steps 2 and 3. These are then
saved under the folder “TestImagesForEigenFaces”.
3.4 Running the Program
Make sure that the TestFaceRecognition Java class is in a folder which is same as
the folder where the “EigenFacesDB” is present.
From the command prompt, go to the folder where the TestFaceRecognition java
class is installed / copied and run the command “java TestFaceRecognition”. This
will bring-up the screen.
The same program is used for both methods of face recognition – using Eigen
faces and using wavelet sub-bands. Wavelet sub-bands are explained later in this
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