USAC: A Universal Framework for Random Sample Consensus | VitaVision
PaperIEEE Transactions on Pattern Analysis and Machine Intelligence · 2013

USAC: A Universal Framework for Random Sample Consensus

Rahul RaguramOndřej ChumMarc PollefeysJiří MatasJan‐Michael Frahm
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USAC: Universal RANSAC Framework

Engineering decomposition of practical RANSAC into four pluggable stages — sampling (PROSAC), model verification (SPRT), local optimisation (LO-RANSAC), and degeneracy handling (DEGENSAC) — with a single reference C++ implementation (USAC-1.0) and an SPRT-corrected stopping criterion.

Cited as a reference by 2 pages, grouped by domain

Geometry 2
Locally Optimized RANSAC (LO-RANSAC)RANSAC

Appears in 2 narratives

NarrativeForty Years Against OutliersNarrativeThe Geometry Pipeline Collapses

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’81’82’83’84’85’86’87’88’89’90’91’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19MAGSAC: marginalizing sample consensus (2019)Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography (1981)