Explore MATLAB source code curated for "人脸定位" with clean implementations, documentation, and examples.
A comprehensive MATLAB code solution for face detection and recognition, originally sourced from an international website, featuring advanced algorithms and practical implementation approaches.
This project implements a facial recognition system using MATLAB. Unlike traditional approaches that perform simple head-to-head comparisons with limited practical value, this system employs an innovative methodology. The recognition process involves capturing facial data for training to extract unique facial features. During testing, the system processes full upper-body or full-body images by detecting and isolating faces, performing dimensionality reduction, and comparing them against a database. The system outputs identified individuals with their personal information while tracking attendance records. The architecture also supports secondary development for recognizing unknown faces outside the database, enabling alarm-triggering functionality for enhanced security.
MATLAB-based algorithm implementation for face detection and eye localization, utilizing skin color segmentation to identify facial regions followed by precise eye position determination.
This MATLAB source code demonstrates face detection and localization techniques, providing valuable implementation examples for image processing practitioners. The code includes algorithms for facial feature extraction and bounding box computation.
This is an Active Shape Model (ASM) MATLAB toolbox designed for face recognition and face localization, featuring robust statistical modeling of facial landmarks with iterative fitting algorithms for precise feature point adjustment.
Key Algorithms and MATLAB Implementation Approaches for Face Localization in Facial Recognition