图像特征 Resources

Showing items tagged with "图像特征"

Corner points are important image features typically referring to edge points with high curvature. This MATLAB-based corner detection operator implementation demonstrates how to automatically identify key feature points in digital images.

MATLAB 232 views Tagged

This implementation utilizes Dense SIFT features with Bag of Words modeling for image representation. After encoding images using BoW, we train an SVM classifier for categorization. The methodology employs both RBF kernel and a custom histogram intersection kernel. Experimental validation uses action images across 6 categories (60 images per class) with 40 training and 20 testing samples per class. Code implementation includes feature extraction, vocabulary construction, and kernel function optimization.

MATLAB 279 views Tagged