Computer Vision Primer
Multi-View Stereo Primer — Filling a Sparse Point Cloud Into Dense 3D Shape
Multi-View Stereo (MVS) recovers dense 3D shape from many images using known camera poses. This article systematically covers the core principle of photo-consistency, the two classical approaches of Plane-Sweep and Patch-based (PMVS), deep-learning-based methods epitomized by MVSNet, and meshing via depth-map fusion, alongside the relationship to stereo and depth cameras, with equations and diagrams.