人脸检测 Resources

Showing items tagged with "人脸检测"

The system consists of the following components: capturing images using a computer's built-in camera, face detection, storing detected face images in a database, and performing face recognition using input photos. This program implements face detection through a skin color recognition approach, where the facial skin color range is defined as 100≤B≤120 and 140≤R≤160. Pixels within this range are set to white while the remaining pixels are set to black. The algorithm employs the imerode function for spherical erosion and applies median filtering to achieve smoothing effects. Finally, after scaling, binarization, and various processing stages, regions with fewer than 1000 white pixels are discarded. Image segmentation incorporates Euler numbers to eliminate background areas resembling facial colors.

MATLAB 285 views Tagged

A comprehensive MATLAB source code for RGB-based face detection, providing valuable resources for enthusiasts and researchers working in facial recognition domains. Includes algorithm implementation details and practical coding examples.

MATLAB 209 views Tagged

This program performs automated face detection on input images, utilizing robust computer vision techniques for reliable performance. Key features include efficient Haar cascade classifiers or deep learning-based approaches for accurate facial region identification.

MATLAB 246 views Tagged