Face Detection MATLAB Source Code with Implementation Guide

This article presents a comprehensive MATLAB implementation for face detection, complete with source code, detailed PowerPoint documentation, and execution results analysis. The program demonstrates robust detection of human faces within digital images and provides corresponding output visualizations. Our accompanying PPT documentation elaborates on the implementation methodology, including key algorithms such as Viola-Jones detection framework, Haar feature extraction, and cascade classifier implementation. The code utilizes MATLAB's Computer Vision System Toolbox functions like vision.CascadeObjectDetector for efficient face localization. We showcase practical examples of detection results, highlighting parameters such as detection confidence scores and bounding box coordinates. Through this complete package, developers can gain deeper understanding of face detection techniques and effectively implement similar computer vision applications. The source code includes modular functions for image preprocessing, feature detection, and result visualization, enabling easy customization for specific project requirements.