Face Detection Code with MATLAB Implementation

This document presents a face detection program implemented in MATLAB. The program demonstrates excellent detection performance for both frontal faces and side-profile faces with moderate angles. The implementation utilizes computer vision algorithms to identify facial regions, which are then annotated with green bounding boxes on the original input image. Key features include: - Face region extraction and saving as individual image files - Integration of scale normalization to handle varying face sizes - Detailed code comments explaining the Viola-Jones algorithm implementation - Configuration parameters for adjusting detection sensitivity The program employs MATLAB's Computer Vision Toolbox functions for feature extraction and classification, with additional custom code for post-processing and image output. The scale normalization module ensures consistent output dimensions regardless of input image resolution. This implementation serves as a comprehensive reference for understanding face detection methodologies and their practical application in MATLAB environment.