I want to do a smile detection project from images in opencv. I have installed opencv-3.1.0 with gcc and cmake. I have downloaded human faces database from AT and T. Now, how do i start training of them? I am quite noob and stuck. So i would appreciate an elaborate explanation to start and work with it from anyone out here.
In order to get more images, you can use GENKI-4k Face, Expression, and Pose Dataset [1]
The GENKI-4K dataset contains 4,000 face images spanning a wide range of subjects, facial appearance, illumination, geographical locations, imaging conditions, and camera models. All images are labeled for both Smile content (1=smile, 0=non-smile) and Head Pose (yaw, pitch, and roll parameters, in radians).
I have used this database to train a smile classifier using LBP + SVM approach (some years ago) and results were quite satisfactory. Steps:
Step (2) can be decomposed in:
The public GENKI-4K dataset is available for download here [2].
[1] http://mplab.ucsd.edu/wordpress/?page...
[2] http://mplab.ucsd.edu/wordpress/wp-co...
Two sample images:
I would do a mouth detection and classify just the mouth, IMHO the info in the face is not as good as only the info in the mouth area, am I wrong?
You would be surprised how much a smile influences the face region and thus the descriptor!
Maybe you are right, the eyes shape change, there are some lines that appear...
And even contours/curves that are not so visible like cheecks or eyebrow position.
I agree with @StevenPuttemans
Asked: Feb 5 '16
Seen: 964 times
Last updated: Feb 05 '16
have you seen opencv's smile-cascade detector ?
what is your plan ?
att_faces might not be the best database for this, you'd have to annotate/label your data manually, and it's probably too small (on its own)