Problem: Implementation of the paper Rapid Object Detection using a Boosted Cascade of Simple Features` for face detection algorithm which is capable of detecting frontal faces in real time and is regarded as a milestone in the development of computer vision.
Approach:
- Used
CBCL
dataset to train the model with 'face images andCBCL
dataset to train with 'non-face images' - Implemented
integral image
calculation Adaboost
implementation- Developed
CASCADING
to reject non-face region quickly