Research on 3D Reconstruction from 2D Images
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Thesis: Research on 3D Reconstruction from 2D Images. This study aims to explore 3D reconstruction using two 2D images, implemented through MATLAB programming. The paper provides comprehensive technical explanations of practical implementation methods and underlying principles for each processing stage, including image preprocessing operations, feature extraction algorithms (such as SIFT or SURF), depth inference techniques, and 3D point cloud generation. The implementation leverages MATLAB's Computer Vision Toolbox for feature matching and camera calibration, while employing triangulation methods for 3D coordinate calculation. Additionally, the research discusses recent advancements in related fields and future research directions. Through this study, we gain deeper insights into the relationship between 2D images and 3D reconstruction, providing valuable references and inspiration for research in related domains.
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