Eye Detection in Facial Regions Using EyeMap and MouthMap Algorithms

On the MATLAB platform, we can employ the EyeMap and MouthMap algorithms to detect eye positions within facial regions. The EyeMap algorithm operates by analyzing luminance and chrominance information from images to identify eye regions, typically utilizing color space transformations and thresholding techniques. Meanwhile, the MouthMap algorithm detects eyes through shape analysis and texture features, often employing edge detection and morphological operations. The integration of these algorithms enables more accurate eye detection by combining multiple visual cues. This implementation typically involves preprocessing steps like face detection, ROI extraction, and contrast enhancement before applying the specialized mapping algorithms. The detected eye positions serve as crucial foundations for subsequent applications such as facial recognition systems, emotion analysis models, and gaze tracking implementations, where precise eye localization significantly improves system performance. Code implementation generally includes functions for image preprocessing, feature extraction, and coordinate mapping, with parameters adjustable for different lighting conditions and facial characteristics.