A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography. (arXiv:2211.03007v1 [cs.CV])

In computer vision, finding point correspondence among images plays an
important role in many applications, such as image stitching, image retrieval,
visual localization, etc. Most of the research worksfocus on the matching of
local feature before a sampling method is employed, such as RANSAC, to verify
initial matching results via repeated fitting of certain global transformation
among the images. However, incorrect matches may still exist, while careful
examination of such problems is often skipped. Accordingly, a geometrically
constrained algorithm is …

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