Difference between revisions of "Identity Processing"
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* Picasa Face Detection and Tagging | * Picasa Face Detection and Tagging | ||
** http://i.i.com.com/cnwk.1d/i/bto/20080829/face_detection.png | ** http://i.i.com.com/cnwk.1d/i/bto/20080829/face_detection.png | ||
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==== Face recognition ==== | ==== Face recognition ==== | ||
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#define HIST_POST 2 | #define HIST_POST 2 | ||
</source> | </source> | ||
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| + | ===== Active Appearance Models ===== | ||
| + | * AAM-API c++ - http://www2.imm.dtu.dk/~aam/ | ||
| + | * Gamer’s Facial Cloning for Online Interactive Games, Abdul Sattar, Nicolas Stoiber, Renaud Seguier, and Gaspard Breton. http://www.scitechbits.com/2009/09/29/gamers-facial-expression-cloning-next-big-thing-in-gaming/ | ||
| + | * Advance Interaction Using Facial Information - http://aifi.isr.uc.pt/ | ||
| + | ** http://aifi.isr.uc.pt/Downloads.html | ||
| + | <youtube v="rOAcXbLEypU" loop="true"/> | ||
| + | <youtube v="dmzqUiukiS8" loop="true"/> | ||
| + | |||
| + | === Expression === | ||
| + | * http://aifi.isr.uc.pt/FEAR.html | ||
Latest revision as of 07:12, 30 September 2009
Contents
Identity Processing
Face detection
- with opencv: http://opencv.willowgarage.com/wiki/FaceDetection
- Picasa Face Detection and Tagging
-
Face recognition
- http://info.polarrose.com/features/
- 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:
- Integer to float conversion - Converts 256 gray levels into floating point equivalents.
- Geometric normalization – Lines up human chosen eye coordinates.
- 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.
- Histogram equalization – Equalizes the histogram of the unmasked part of the image.
- 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
Active Appearance Models
- AAM-API c++ - http://www2.imm.dtu.dk/~aam/
- Gamer’s Facial Cloning for Online Interactive Games, Abdul Sattar, Nicolas Stoiber, Renaud Seguier, and Gaspard Breton. http://www.scitechbits.com/2009/09/29/gamers-facial-expression-cloning-next-big-thing-in-gaming/
- Advance Interaction Using Facial Information - http://aifi.isr.uc.pt/
<youtube v="rOAcXbLEypU" loop="true"/> <youtube v="dmzqUiukiS8" loop="true"/>
