PCA Face Detection and Recognition
PCA Face Detection and Recognition - Content: Face Eigenvalue Extraction, Face Model Reconstruction, and Face Recognition with Implementation Details
Explore MATLAB source code curated for "人脸检测" with clean implementations, documentation, and examples.
PCA Face Detection and Recognition - Content: Face Eigenvalue Extraction, Face Model Reconstruction, and Face Recognition with Implementation Details
Face detection using ICA (Independent Component Analysis) transformation represents a novel approach in facial recognition technology, featuring statistical signal processing and component separation capabilities.
Implementation of PCA-based face detection and recognition algorithms with code-level explanations and practical applications
A MATLAB face detection program utilizing Real AdaBoost algorithm, featuring comprehensive source code with detailed implementation of Haar feature extraction and weak classifier training processes.
Face and eye detection and localization program with MATLAB code implementation, utilizing computer vision algorithms
Complete MATLAB source code for face detection system, includes comprehensive PPT documentation and detailed execution results analysis with algorithm explanations
Source code for face detection and facial landmark localization from 2014 CVPR, featuring convolutional neural networks and cascade regression algorithms
MATLAB source code implementing One-Class Support Vector Machine (OCSVM) for face detection applications, including algorithm implementation and image processing techniques
Source code implementation for face detection and tracking in video images with algorithm explanations
Eye Localization in Face Detection - Implemented using MATLAB with executable code