A Face Image Normalization Program
A MATLAB-based program for normalizing face images through size standardization using image processing algorithms including scaling, cropping, and padding operations.
Enhanced LLE Algorithm for Face Image Processing
Implementation of an improved Locally Linear Embedding (LLE) algorithm specifically optimized for face image dimensionality reduction and feature extraction.
Dimensionality Reduction of Face Images using PCA
MATLAB implementation for face image dimensionality reduction with PCA followed by neural network classifier training
Skin Color-Based Face Detection with Eye State Analysis
MATLAB program implementing face detection using skin color segmentation and eye state classification (open/closed eyes) through image processing techniques
Gray-scale Integral Projection for Direct Face Detection and Eye Localization
Utilizing gray-scale integral projection for direct face detection and eye localization is a common algorithm, but its direct application can be affected by background noise and feature variations, resulting in lower recognition accuracy. We propose a detection and localization algorithm combining Otsu's thresholding method (maximum inter-class variance) and region dilation. The algorithm first calculates the Otsu threshold to binarize the gray-scale image and detect face regions, then performs dilation and connectivity processing on connected components within the face area to precisely locate eye coordinates. Experimental results demonstrate that this algorithm is reliable with improved recognition performance. Key implementation aspects include adaptive threshold calculation using Otsu's method and morphological operations for feature enhancement.
Face Image Illumination Normalization Using Integral Images
A facial illumination normalization program utilizing integral images with comparative result demonstrations.
Two-Level Wavelet Decomposition of Facial Images
Implementation of two-level wavelet decomposition for facial images using MATLAB, which generates decomposition diagrams for analysis. Users can simply modify the image filename in the code to process their own images.
Improved LLE Algorithm
Enhanced Locally Linear Embedding Algorithm