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Label the group photo

locate and identify faces and label them

Ramona Ciulpan Webmaster

Label the group photo

locate and identify faces and

label them

Mircea Focşa PPT Presentation

Label the group photo

locate and identify faces and

label them

Krisztian Olle Project manager

Label the group photo

locate and identify faces and

label them

Face Detection

Finding faces is complicated?

Possible solution

 Boosting  Neural Network  Template matching  Principal Component Analysis  Deformable feature-based template  Using skin color  Support Vector Machine

Our method here

 Before the middle 90’s, the research attention was only focused on single-face segmentation.

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.

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

Implementation (I)

Input group photo Isolate people / faces Number the faces

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Implementation (II)

Input group photo Isolate people / faces Number the faces

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Implementation (IV)

Build of library of faces

Implementation (V)

^ Label the faces

Train the SVM with new set of vectors

Examples

Future Plans

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