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Face
Detection
Pattern Recognition Part
Problem Definition & History
Face Detection
 Where is the face?
Face Recognition
 Who is this?
Face Recognition Attempts
Face Recognition Attempts
Voila-Jones Approach
AI section
 Learning based on
AdaBoost
 Classifier Cascade
PR section
 Integral Image
 Haar-Like Features
Integral Image
 New image representation which allows
the features used by our detector to be
computed very quickly.
Haar-Like Features
 New method to detect the features of a
face in an Image
Classifier Cascade
 Which allows background region of the
image to be discarded quickly, while
spending more computations on
promising the object-like region
Adaptive-Boost
 A learning Algorithm, which selects a small
number of critical visual features from a
large set.
Part II
Pattern Recognition
Integral Image
Haar-Like Features
Detect if there is a face!
OpenCV Face Detection, Visualization
Q&A
Any question?
Thanks.

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Face Detection

Editor's Notes

  1. Most modern Algorithms are based on the viola-jones object detection framework, which is based on Haar-Cascade
  2. What is that?
  3. Two Rectangle, Three Rectangle, and Four Rectangle.
  4. Next page, Example.
  5. Next page, another example.
  6. Next page, how does it work?
  7. Take a part of the image and check if there are face features? Next page, Video to visualize the whole process.