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- W2608340797 abstract "We propose a method, called HAF, to estimate planar homography from an affine correspondence satisfying the epipolar constraint in an image pair. An affine correspondence consists of a point pair and the related local affine transformation mapping the pixels infinitely close to the point locations from the first to the second images. As a minimal solver, it estimates the homography from only one correspondence, however, it is generalized for the over-determined case as well. The required local affinities are obtained by affine-covariant feature detectors accurately. As a side-effect of the tests, the state-of-the-art affine-covariant detectors are compared to each other w.r.t. the accuracy of the estimated point-wise homographies. The proposed method is validated both on the publicly available AdelaideRMF dataset and in a synthetic testing environment." @default.
- W2608340797 created "2017-05-05" @default.
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- W2608340797 date "2017-07-01" @default.
- W2608340797 modified "2023-09-26" @default.
- W2608340797 title "A theory of point-wise homography estimation" @default.
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- W2608340797 doi "https://doi.org/10.1016/j.patrec.2017.04.020" @default.
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