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Putative Match Analysis: A Repeatable Alternative to RANSAC for Matching of Aerial Images

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, which in our case is used for image stitching and the obtained points are also used for georeferencing. This algorithm 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. Moreover a refining step is proposed that finds the best matches depending on what geometric transformation is used, which also can be utilized as a refining step for RANSAC.


VISAPP 2012 - International Conference on Computer Vision Theory and Applications, Rome, Italy, 2012

Autori IIT:

Tipo: Articolo in Atti di convegno internazionale con referee
Area di disciplina: Information Technology and Communication Systems
urn:nbn:se:uu:diva-188382 (URN) oai:DiVA.org:uu-188382 (OAI) diva2:577822 (DiVA) Da pagina 341 a pagina 344

Attività: Social and Semantic Web