Label the group photo

1
Label the group photo

• locate and identify faces and label them

2
Label the group photo
locate and identify faces and label them
Ramona Ciulpan Webmaster
3
Label the group photo
locate and identify faces and label them
Kornel Toth SVM, Database
4
Label the group photo
locate and identify faces and label them
Mircea Focsa PPT Presentation
5
Label the group photo

• locate and identify faces and label them

Krisztian Olle Project manager
6
Project Description

• Label the group photo- locate and identify faces
  and label them
•  
• Input group photo ( for example 10 people)
• Segment it to isolate people/faces
• Number the faces
• Extract the faces
• Build of library of faces
• From photos of similar faces try to find that
  person on the group photo

7
Face Detection

• Finding faces is complicated?

8
Possible solution

• Neural Network
• Template matching
• Principal Component Analysis
• Support Vector Machine

9
Possible solution

• Neural Network
• Template matching
• Principal Component Analysis
• Support Vector Machine

10
Support Vector Machines algorithm
Minimize W(?)- ?T 1 1/2 ? T D ?
? Subject to ?T y 0 ?-C1 0 - ? 0
11
Face detection (I)

• Create an images database
• 266 pictures 150 faces 116 non-faces
• 
  . . .
• Preprocessing
• Gray scale transformation
• Histogram equalization
• Adjust resolution to 30x40 pixel
• Training the SVM based on that 266 vectors,
  using a polynomial kernel.

12
Face detection (II)

• Moving over the input image with a 30x40 pixel
  sub window
• Histogram equalization of a sub window
• Classification by SVM
• Removing intersections

13
Face recognition

• Training the SVM based on the people faces who
  want to recognize
• Classifying the detected faces
• Labeling the known faces

14
Implementation (I)

• Input group photo
• Isolate people / faces
• Number the faces

?


15
Implementation (II)

• Input group photo
• Isolate people / faces
• Number the faces

?
?
?
16
Implementation (III)

• Extract the faces

?
17
Implementation (IV)

• Build of library of faces

?
18
Implementation (V)
Train the SVM with new set of vectors

• Label the faces

?
19
Results
Image name Resolution of faces of tests of found faces Time (sec.) False Classific.
csoport.pgm 600x398 15 9600 13 11.45 6
team2.pgm 700x465 4 13020 4 15.077 0
team3.pgm 600x398 4 9600 4 14.671 0
team31.pgm 500x331 4 6700 4 10.499 0
team4.pgm 500x331 4 6700 4 10.515 0
team41.pgm 400x265 4 4240 4 5.984 0
test5.pgm 500x332 5 6700 4 9.937 1
20
Examples
21
Future Plans

• Multi-resolution image pyramid
• Better face databases
• Better face recognition databases
• Improve the speed
• Improve the masking technique

22
Thank You!

• How many faces ?

4
5
6
3
2
7
9
1
8
11
10
23
References

• Open Source Computer Vision Library Reference
  Manual http//developer.intel.com/
• Guodong Guo, Stan Z. Li, and Kapluk Chan Face
  Recognition by Support Vector Machines
  Proceeding of Fourth IEEE International
  Conference on Automatic Face and Gesture
  Recognition, 2000 Grenoble, France.
• Edgar Osuna, Robert Freund Training Support
  Vector Machines an Application to Face
  Detection. Proceeding of CVPR97,  1997 Puerto
  Rico
• The Face Detection Homepage http//home.t-online.
  de/home/Robert.Frischholtz/face.htm

24
(No Transcript)