Identity Processing

Identity Processing

Face detection

• • with opencv: http://opencv.willowgarage.com/wiki/FaceDetection
• Picasa Face Detection and Tagging
  • 

Face recognition

• http://info.polarrose.com/features/
  • http://www.face-rec.org/
• PittPatt http://www.pittpatt.com/
• good paper http://www.cs.colostate.edu/~vision/faceperf/Bolme_IISWC2007.pdf

PCA

• already done! http://svn.roberttwomey.com/of/faceRecTest

Elastic Bunch Graph Matching (EBGM)

• Download csu FacePerf software: http://www.cs.colostate.edu/~ross/downloads/csuFaceIdEval5.tgz
  • normalization schedule:

1. Integer to float conversion - Converts 256 gray levels into floating point equivalents.
2. Geometric normalization – Lines up human chosen eye coordinates.
3. Masking – Crops the image using an elliptical mask and image borders such that only the face from forehead to chin and cheek to cheek is visible.
4. Histogram equalization – Equalizes the histogram of the unmasked part of the image.
5. Pixel normalization – scales the pixel values to have a mean of zero and a standard deviation of one.

• default face normalization parameters from CSU FacePerf program:

#define ELLIPSE_X    65.0
#define ELLIPSE_Y    50.0
#define ELLIPSE_A    64.0
#define ELLIPSE_B    118.0

#define EDGE_PRE     0
#define EDGE_POST    0

#define EYE_LX       30.0
#define EYE_LY       45.0
#define EYE_RX       100.0
#define EYE_RY       45.0

#define SIZE_WIDTH   130
#define SIZE_HEIGHT  150

#define NOISE        0.0
#define SCALE        1.0
#define SHIFT_X      0.0
#define SHIFT_Y      0.0

#define HIST_NONE    0
#define HIST_PRE     1
#define HIST_POST    2