Face Detection Implementation Tool for MATLAB
A comprehensive MATLAB-based tool for implementing face detection algorithms using computer vision and AI techniques
MATLAB Implementation of Face Detection and Recognition Algorithms
MATLAB-based program for face detection and recognition algorithms with code implementation details
Multiple Approaches for Face Detection
Various methods exist for face detection, with KL being one of the more effective techniques. This code primarily utilizes PCA (Principal Component Analysis) for face detection, capable of identifying face size, position, quantity, and scale variations.
MATLAB Implementation of Support Vector Machine Method
Support Vector Machine method implemented in MATLAB for classification detection, pattern recognition, and face detection applications with code-based implementation details
Face Detection using PCA+SVM and PCA+AdaBoost with Code Implementation
Comparative study of PCA+SVM and PCA+AdaBoost approaches for face detection, including detailed program explanations and algorithm implementation details.
Light Compensation-Based Face Detection
Face detection with light compensation, combining skin tone and hair color features after illumination enhancement processing.
Face Detection Code with MATLAB Implementation
A MATLAB-based face detection program that effectively detects frontal faces and side-profile faces with partial angles. The algorithm annotates detected faces with green bounding boxes on the original image, extracts face regions as separate images, and implements scale normalization at the final stage. The code includes detailed comments explaining the implementation approach using computer vision algorithms and image processing techniques.
MATLAB Source Code for Face Detection Using High Wavelet Feature Extraction and Neural Networks
MATLAB implementation for face detection combining high wavelet feature extraction with neural network classification
Face Detection and Recognition in MATLAB
Using MATLAB for Face Detection and Recognition with Code Implementation Details
Face Detection Using Skin Color Segmentation and SVM
MATLAB implementation for face detection combining YCgCr color space skin modeling with Support Vector Machine (SVM) classification. The code performs skin region extraction through color thresholding followed by machine learning-based verification.