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Description
  • The paper revisits the problem of local optimization for RANSAC. Improvements of the LO-RANSAC procedure are proposed: a use of truncated quadratic cost function, an introduction of a limit on the number of inliers used for the least squares computation and several implementation issues are addressed. The implementation is made publicly available. This technical report contains full experimental evaluation of procedures proposed along with the BMVC paper.
  • The paper revisits the problem of local optimization for RANSAC. Improvements of the LO-RANSAC procedure are proposed: a use of truncated quadratic cost function, an introduction of a limit on the number of inliers used for the least squares computation and several implementation issues are addressed. The implementation is made publicly available. This technical report contains full experimental evaluation of procedures proposed along with the BMVC paper. (en)
Title
  • Fixing the Locally Optimized RANSAC - Full Experimental Evaluation
  • Fixing the Locally Optimized RANSAC - Full Experimental Evaluation (en)
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  • Fixing the Locally Optimized RANSAC - Full Experimental Evaluation
  • Fixing the Locally Optimized RANSAC - Full Experimental Evaluation (en)
skos:notation
  • RIV/68407700:21230/12:00204515!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • P(7E11036), P(GAP103/12/2310), S
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  • 136748
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  • RIV/68407700:21230/12:00204515
http://linked.open...riv/jazykVysledku
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  • computer vision; two-view geometry; robust estimation; RANSAC; local optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C9DF6A07BE1E]
http://linked.open...in/vavai/riv/obor
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  • Matas, Jiří
  • Chum, Ondřej
  • Lebeda, Karel
http://localhost/t...ganizacniJednotka
  • 21230
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