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B3tt3r: 3D Reconstruction

Stereo pairs are the kind of problem I come back to: two pictures, and a surface that has to agree with both. I combined Mast3r and Spann3r for matching, depth, and a mesh.

Two photographs of a brick mill beside a small grey paper model of a building on a white table.
Fig. 1Photographs and a paper model, standing in for a stereo reconstruction. Generated illustration. Not a capture from the B3tt3r repository.
Two ink drawings of the same mill, seen from opposite sides, cycling through matched corners, a hatched depth, and a mesh.
Fig. 2A drawn turntable of one stereo pair: the same mill in two views, first with matched corners, then hatched for depth, then tied into a mesh. Drawn turntable of the method. Not a capture from the B3tt3r repository, and not a measured reconstruction.
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3D Vision, Stereo Matching, Python, Deep Learning
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