methods of face detection?

Question

i want to know the best method of face detection because i'm working on predict face emotion application

so Before analyzing the facial expression of a face fixed or moving, it should detect or follow to extract relevant information. several detection methods existe but what is the best in my case ?

Answer 1

A fast and easy way to get started with face detection is through using OpenCV's Haar detection methods (a slightly modified version of the viola-jones face detection algorithm IIRC). They have pre-trained haar cascade classifiers for entire faces and individual face components, e.g. eyes, nose, etc. You can also train your own if you feel so inclined. Haar features also have the advantage of being very fast, so it's quite usable with video (which it sounds like you'll be using). Also, by having the individual face-components classified, it may simplify your emotion detection/prediction algorithm.

You can find the OpenCV documentation detailing Haar feature-based object recognition at http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html#viola01

and an example of performing face detection at http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/dbt_face_detection.cpp

As for the emotion detection, that's an open research question, so anything you try will likely be fairly involved. If you're into that sort of thing, some good papers to look over might be http://www.utdallas.edu/dept/eecs/research/researchlabs/msp-lab/publications/Busso_2004.pdf and http://humansensing.cs.cmu.edu/papers/Automated.pdf