Face detection theory
Face detection is a very specific case of object recognition. There are many approaches to face recognition. However, we are going to discuss the two given here:
- Segmentation based on color
- Feature-based recognition
Segmentation based on color
In this technique, the face is segmented out based on skin color. The input of this is typically an RGB image, while in the processing stage we shift it to Hue saturation value (HSV) or YIQ ( Luminance (Y), In-phase Quadrature) color formats. In this process, each pixel is classified as a skin-color pixel or a non-skin-color pixel. The reason behind the use of other color models other than RGB is that sometimes RGB isn't able to distinguish skin colors in different light conditions. This significantly improves while using other color models.
This algorithm won't be used here.
Feature-based recognition
In this technique, we go for certain features and based on that we do the recognition. Use of the haar feature-based cascade for face...
