Explore MATLAB source code curated for "人眼定位" with clean implementations, documentation, and examples.
This MATLAB program implements face and eye detection and localization using skin color segmentation algorithms. The attached files include eyematch.m (for eye pattern matching), eyematch2.m (enhanced eye matching algorithm), face.m (main face detection function), findeye.m (eye localization module), skin.m (skin color segmentation implementation), and sample image k001.JPG.
MATLAB-based implementation of eye localization and face detection algorithms, ideal for researchers studying facial recognition technology with practical code examples
This code implements a human eye localization system based on Gabor transform, accompanied by comprehensive error analysis functionality for performance evaluation.
MATLAB-based algorithm implementation for face detection and eye localization, utilizing skin color segmentation to identify facial regions followed by precise eye position determination.
Template matching image recognition can be applied to eye localization, character matching, machine part identification, etc. It constitutes a fundamental processing method in the image processing field suitable for various industrial environments. The core technology involves spatially aligning multiple images of the same scene captured under different conditions and searching for predefined patterns using correlation-based algorithms. Implementation typically involves sliding-window approaches with similarity metrics like cross-correlation or sum of squared differences (SSD) calculations.
A comprehensive program for eye localization and face detection, including both executable code and simulation components, delivering excellent performance results!
This code implements a debugged algorithm for precise eye localization and robust face detection.