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Title:

Estimating the essential matrix: GOODSAC versus RANSAC

Document type:
Konferenzbeitrag
Author(s):
Michaelsen, E.; von Hansen, W.; Meidow, J.; Kirchhof, M.; Stilla, U.
Abstract:
GOODSAC is a paradigm for estimation of model parameters given measurementsthat are contaminated by outliers. Thus, it is analternative to the well known RANSAC strategy. GOODSAC’s search fora proper set of inliers does not only maximize the sheer size ofthis set, but also takes other assessments for the utility into account.Assessments can be used on many levels of the process to controlthe search and foster precision and proper utilization of the computationalresources. This contribution discu...     »
Keywords:
essential matrix, robust estimation, RANSAC, structure from motion
Book / Congress title:
Symposium of ISPRS Commission III: Photogrammetric Computer Vision
Year:
2006
Pages:
161--166
WWW:
http://www.pf.bgu.tum.de/pub/2006/michaelsen_co_stilla_pcv06_pap.pdf
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