Matlab Realizes 3D Stereo Reconstruction of 2D Image Sequence

Matlab Realizes 3D Stereo Reconstruction of 2D Image Sequence

With the development of science and technology, people's demand for image processing technology is also getting higher and higher. Among them, 3D reconstruction technology is widely used in medicine, geology and other fields. This article will introduce how to realize 3D stereo reconstruction based on 2D image sequence through Matlab, and provide the corresponding source code.

1. Demand analysis

In the three-dimensional reconstruction of two-dimensional image sequence, the following tasks need to be completed:

1. Read and preprocess 2D image sequences

2. Determining camera parameters and matching points

3. Using binocular parallax calculation technology to complete the generation of depth map

4. Reconstruction of 3D models from depth maps

5. Visualize and optimize the resulting 3D model

2. Source code implementation

1. Image reading and preprocessing

First, we need to read the two-dimensional image sequence and preprocess it. The following code shows how to read the images under the images folder and convert them into grayscale images:

% 读取图片序列并转换成灰度图
img_path = './images/*.jpg';
img_files = dir(img_path);
n_imgs