MATLAB Implementation of Facial Recognition with Eye Localization
A newly developed facial recognition program featuring advanced eye localization capabilities, implemented using MATLAB image processing and computer vision algorithms.
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.
Eye Localization in Face Detection
Eye Localization in Face Detection - Implemented using MATLAB with executable code
Eye Localization During Driving
A self-developed MATLAB program for real-time eye localization in driving scenarios, implementing computer vision algorithms for driver monitoring applications.
Eye Localization in Driving Scenarios
Eye Localization During Driving Operations