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What is: Convolutional Hough Matching?

SourceConvolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Convolutional Hough Matching, or CHM, is a geometric matching algorithm that distributes similarities of candidate matches over a geometric transformation space and evaluates them in a convolutional manner. It is casted into a trainable neural layer with a semi-isotropic high-dimensional kernel, which learns non-rigid matching with a small number of interpretable parameters.