3D reconstruction
Recovery of three-dimensional shape from sensor data such as images or depth scans. Essential for robotic perception and scene understanding.
2 milestones
Structured Light for Robust Correspondence in Active Stereo Vision
In 2002, Li Zhang, Brian Curless, and Steven M. Seitz at the University of Washington presented a method using structured light patterns projected onto scenes to establish robust stereo correspondences, enabling reliable 3D reconstruction under conditions where passive stereo fails.
Machine Perception of Three-Dimensional Solids, Lawrence Gilman Roberts (MIT Lincoln Laboratory)
In 1963, Lawrence Gilman Roberts, working at MIT Lincoln Laboratory, completed his doctoral thesis demonstrating that a computer could interpret a 2D photograph of polyhedral objects, reconstruct their 3D structure, and re-render them from arbitrary viewpoints with hidden lines removed, establishing foundational methods for machine interpretation of three-dimensional scenes.