Structure from Motion (SfM): Rebuilding 3D from 2D Photos
Structure from Motion (SfM) reconstructs a 3D scene from 2D images taken from different viewpoints, much like your brain perceives depth. It's used for creating 3D maps from drone footage. The main footgun is its failure on textureless or reflective surfaces.
Structure from Motion (SfM) rebuilds a 3D world from 2D photos. Think of how moving your head helps you judge distance; SfM computationally tracks features across images to infer both the 3D structure and the camera's path. This is the core tech behind drone-based surveying and creating digital twins of buildings. The main footgun is that it fails on textureless or reflective surfaces, as it requires distinct features and significant camera movement to solve the geometry.
Read the original → Wikipedia: Structure from motion
- #computer vision
- #3d reconstruction
- #photogrammetry
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