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Data science, AI, 3D reconstruction and computer science — explained with equations, figures and code that runs.
3D reconstruction · 2026-11-04
Camera calibration from a chessboard: Zhang's method
How a planar pattern yields the intrinsic matrix in closed form, why at least three views are needed, and a Monte-Carlo experiment on noise and number of images.
3D reconstruction · 2026-11-04The eight-point algorithm and why normalisation matters
Estimating the fundamental matrix with an SVD, why raw pixel coordinates make the problem ill-conditioned, and a numerical experiment on Hartley normalisation.
3D reconstruction · 2026-11-04Triangulation: from two views to a 3D point
Why two noisy rays never intersect, how the Direct Linear Transform solves it with an SVD, and a numerical experiment on how camera baseline controls accuracy.