Target distance test MATLAB simulation based on images captured by binocular cameras
Binocular vision technology is a commonly used method for estimating the three-dimensional position and distance of objects from images. This article will introduce how to use MATLAB to simulate target distance testing based on images captured by binocular cameras. We will use MATLAB's Computer Vision Toolbox to implement this simulation.
First, we need to prepare a pair of images captured by a binocular camera. This can be an image taken by a real camera or taken from a public dataset. Binocular images usually include left and right images, representing different perspectives of the same scene.
Next, we need to perform image preprocessing to extract useful features. In binocular vision, a commonly used feature is parallax. Parallax represents the displacement of the same feature points in the left and right images, and is inversely proportional to the distance to the target. We can use MATLAB's disparity estimation algorithm to calculate the disparity image.
The following is an example MATLAB code for calculating disparity images of binocular images:
% 读取左右图像
leftImage = imread('left_image.png');
rightImage = imread('righ