Face
Detection
I have seen an article about the HAAR classifier
.which inspires me to work on image processing. image processing nothing but convert
the image and video to digital form, digital form to arrays by using these
arrays with some logic we can perform some actions that can change the features
of the image/video.
Haar classifier is the best and effective object
detection method proposed by Paul
Viola and Michael Jones. cascade function is
trained by positive and negative images.Haar
classifier is developed using Haar wavelets .this wave lets is
similar to fourier transformations if you want to know more about the Haar
wavelets and classifiers just open the links below:
Haar classifier: https://en.wikipedia.org/wiki/Haar-like_features
Haar wavelets: http://www.whydomath.org/node/wavlets/hwt.html
With the knowledge of these we can make or train our
own Haar classifier.
Here in this project I try to detect the face, eyes
for which I use the existing classifier I found it when I Google about the classifier.
We can use four edge detection rather than the classifier but it is not as
accurate as Haar classifier and object detection not easy in four edge
detection so I opt for haar classifier.
Let’s start our project:
Here i used the recorded video,we can use the live stream video also.we need to import the classifier and need to write small logic to draw shape on the feature that is recognized by haar classifier we can observe through below image how this classifier is working .
You’re always
welcome to give me your valuable suggestion through comments, if you need more
information regarding this please leave a comment so that I can answer you.
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