3D Model Reconstruction of Buildings from 2D Images

Three-dimensional models of buildings can be reconstructed from two-dimensional images captured by standard cameras. By photographing a structure from multiple angles and capturing different sections, these images can be processed to generate more accurate and complete 3D representations. This approach employs computer vision techniques such as feature detection (using algorithms like SIFT or ORB), camera pose estimation, and dense point cloud generation through multi-view stereo matching. The pipeline typically involves image preprocessing, feature extraction and matching, sparse and dense reconstruction, and surface mesh generation. Such 3D reconstruction enables better understanding of architectural structures and details, with significant applications in building design, cultural heritage preservation, and virtual restoration. This technology facilitates improved documentation and visualization of historical buildings' value while providing architects and designers with valuable references and inspiration. Consequently, reconstructing 3D building models from 2D photographs represents a highly innovative approach with substantial potential across multiple disciplines.