Image Processing and Facial Recognition

The process behind facial recognition has multiple steps:

1. Obtain an image or set of images.
2. Gather every pixel of an image.
3. Determine what is considered the background of the image.
4. Pull the person on the foreground's face.

This is made surprisingly easily because of the library, OpenCV. More info can be found below!

OpenCV:

What is OpenCV?:

• This is a tool that contains a large number of computer vision algorithms that will allow for picture and image recognition.

Why use OpenCV?:

• I don't want to reinvent the wheel! If there is a library that will do all of the math on each pixel of an image, then that is code that I don't need to write. If you need a library for computer vision algorithms then this may be a useful library.
• Also, it is free for people as long as it is not used for monetary usage.

OpenCV Documentation:

• Documentation: https://docs.opencv.org/master/
• Package: https://pypi.org/project/opencv-python/