This is a project to implement emotion recognition in C++ using dlib.
0. Neutral
1. Happy
2. Sad
3. Anger
4. Surprise
2. 68-face-landmark shape_predictor
3. A large image database with atleast 5000 images with images of each emotions in separate folders.
4. Tools – Linux,Cmake,g++,make
1. Download "shape_predictor_68_face_landmarks.dat" for landmark detection from this link: http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2
2. Put this file to the "data" folder.
3. Download and setup "dlib" on your computer.
4. In the programs give proper name to the header files(dlib directory).
5. Download and install cmake to compile.
6. For training put images containing happy and sad emotions in separate folders.
7. Run annotate.exe "./annotate.exe (emotion no) (directoy of images)/*" .
8. Run ./train.exe .
9. Run ./emotionDetection.exe (image name) .
- Histograms of Oriented Gradients for Human Detection By Navneet Dalal and Bill Triggs CVPR 2005
- Object Detection with Discriminatively Trained Part Based Models by P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010
- One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan, CVPR 2014