So I found the cascade object detector in matlab that use the Viola-Jones algorithm to detect faces. Very easy to use, and works great!
But got a few questions.
The viola-jones method got four stages:
- Haar Feature Selection
- Creating an Integral Image
- Adaboost Training
- Cascading Classifiers
In matlab I can use FrontalFace(CART) and FrontalFace(LBP). These are Trained cascade classification model, so they will be part of stage 4 right? But what is the difference between stage 1 and stage 4 if I use FrontalFace(CART)? Both use Haaar features it says.
Can we say that FrontalFace(CART) and FrontalFace(LBP) are two different ways of detecting faces? Can I compare those two against each other to see which one is better? Or should I find another method to compare against the viola-jones?
Are there other face detection methods that are easy to implement in matlab? Found some on the internet (using skin color etc), but Matlab is quite new to me. So I felt that those codes where abit to complicated for me.