One disadvantage with RANSAC is that it is based on randomness and will therefore often yield a different set of inliers in each run, especially if the dataset contains a large number of outliers. A repeatable algorithm for finding both matches and the homography is proposed that will yield the same set of matches every time and is therefore a useful tool when trying to evaluate other algorithms involved and their parameters.

Putative match analysis: A repeatable alternative to RANSAC for matching of aerial images

Marchetti A
2012

Abstract

One disadvantage with RANSAC is that it is based on randomness and will therefore often yield a different set of inliers in each run, especially if the dataset contains a large number of outliers. A repeatable algorithm for finding both matches and the homography is proposed that will yield the same set of matches every time and is therefore a useful tool when trying to evaluate other algorithms involved and their parameters.
2012
Istituto di informatica e telematica - IIT
Aerial photos
Feature matching
Image stitching
RANSAC
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/336453
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