Explore MATLAB source code curated for "视觉注意机制" with clean implementations, documentation, and examples.
Simulating human visual attention mechanisms by identifying rare points and contrast features in images to compute visual attention points, with implementations involving saliency detection algorithms and feature extraction techniques.
This folder contains code implementation and corresponding research papers focused on simulating the physiological characteristics of human visual system through visual attention mechanisms. The project detects visually salient objects and regions following human visual observation patterns, and establishes the relationship between saliency density and scale in significant areas. The implementation includes algorithms for bottom-up visual attention modeling, feature extraction, and saliency map generation. Applications span biological vision simulation, visual target detection, visual object tracking, intelligent visual surveillance, as well as research in visual physiology and psychology.