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
Inglese
VISAPP 2012 - International Conference on Computer Vision Theory and Applications
2
341
344
http://www.scopus.com/inward/record.url?eid=2-s2.0-84862140199&partnerID=q2rCbXpz
Sì, ma tipo non specificato
24/02/2012
Roma, Italia
Aerial photos
Feature matching
Image stitching
RANSAC
1
none
Hast A.; Marchetti A.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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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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