3D Model Reconstruction from 2D Images

This example demonstrates a MATLAB program that reconstructs 3D models from 2D images. The implementation is straightforward and practical, making it ideal for beginners to understand fundamental concepts and techniques in 3D reconstruction. The example covers essential MATLAB image processing tools for preprocessing 2D images, including functions like imread for image loading, imresize for dimension adjustment, and edge detection algorithms for feature extraction. The reconstruction process employs techniques such as structure from motion (SfM) or multi-view stereo matching, utilizing MATLAB's Computer Vision Toolbox functions like estimateFundamentalMatrix and triangulate. Through this implementation, you will learn how to process 2D images and convert them into 3D point clouds or mesh models using MATLAB's built-in functions like pcshow for point cloud visualization and surf for surface rendering. This example provides an excellent foundation for further study and research in image processing and computer vision fields, demonstrating key workflow steps from image acquisition to 3D model generation.