Computer Vision for Faces

This course teaches computer vision, machine learning and artificial intelligence techniques for processing faces. The following topics were covered 1. OpenCV & Dlib (Python / C++). 2. Color spaces. 3. Image enhancement and Image Filtering. 4. Facial landmark detection: Theory and applications. 5. Image transformations, Image warping, and Alpha Blending. 6. Face Morphing, Face Swapping, and Face Averaging. 7. Blink and Drowsiness detection. 8. Head Pose Estimation. 9. Skin Detection and Blemish Removal. 10. Image Classification. 11. Object Detection. 12. Object tracking. 13. Introduction to Deep Learning. 14. Face Recognition. 15. Emotion Recognition.