%?RANSAC?-?Robustly?fits?a?model?to?data?with?the?RANSAC?algorithm
%
%?Usage:
%
%?[M?inliers]?=?ransac（x?fittingfn?distfn?degenfn?s?t?maxDataTrials?maxTrials）
%
%?Arguments:
%?????x?????????-?Data?sets?to?which?we?are?seeking?to?fit?a?model?M
%?????????????????It?is?assumed?that?x?is?of?size?[d?x?Npts]
%?????????????????where?d?is?the?dimensionality?of?the?data?and?Npts?is
%?????????????????the?number?of?data?points.
%
%?????fittingfn?-?Handle?to?a?function?that?fits?a?model?to?s
%?????????????????data?from?x.??It?is?assumed?that?the?function?is?of?the
%?????????????????form:
%????????????????????M?=?fittingfn（x）
%?????????????????Note?it?is?possible?that?the?fitting?function?can?return
%?????????????????multiple?models?（for?example?up?to?3?fundamental?matrices
%?????????????????can?be?fitted?to?7?matched?points）.??In?this?case?it?is
%?????????????????assumed?that?the?fitting?function?returns?a?cell?array?of
%?????????????????models.
%?????????????????If?this?function?cannot?fit?a?model?it?should?return?M?as
%?????????????????an?empty?matrix.
%
%?????distfn????-?Handle?to?a?function?that?evaluates估計?the
%?????????????????distances距離?from?the?model?to?data?x.
%?????????????????It?is?assumed?that?the?function?is?of?the?form:
%????????????????????[inliers?M]?=?distfn（M?x?t）
%?????????????????This?function?must?evaluate?the?distances?between?points
%?????????????????and?the?model?returning?the?indices?of?elements?in?x?that
%?????????????????are?inliers內點?that?is?the?points?that?are?within?distance
%?????????????????‘t‘?of?the?model.??Additionally?if?M?is?a?cell?array?of
%?????????????????possible?models?‘distfn‘?will?return?the?model?that?has?the
%?????????????????most?inliers.??If?there?is?only?one?model?this?function
%?????????????????must?still?copy?the?model?to?the?output.??After?this?call?M
%?????????????????will?be?a?non-cell?object?representing?only?one?model.
%
%?????degenfn???-?Handle?to?a?function?that?determines?whether?a
%?????????????????set?of?datapoints?will?produce?a?degenerate?model.
%?????????????????This?is?used?to?discard丟棄?random?samples?that?do?not
%?????????????????result?in?useful?models.
%?????????????????It?is?assumed?that?degenfn?is?a?boolean?function?of
%?????????????????the?form:
%????????????????????r?=?degenfn（x）
%?????????????????It?may?be?that?you?cannot?devise想到?a?test?for?degeneracy?in
%?????????????????which?case?you?should?write?a?dummy假的?function?that?always
%?????????????????returns?a?value?of?1?（true）?and?rely?on?‘fittingfn‘?to?return
%?????????????????an?empty?model?should?the?data?set?be?degenerate.
%
%?????s?????????-?The?minimum?number?of?samples采樣最小值?from?x?required?by
%?????????????????fittingfn?to?fit?a?model.
%
%?????t?????????-?The?distance?threshold距離閾值?between?a?data?point?and?the?model
%?????????????????used?to?decide?whether?the?point?is?an?inlier?or?not.
%
%?????maxDataTrials?-?Maximum?number?of?attempts嘗試最大值?to?select?a?non-dege

?屬性????????????大小?????日期????時間???名稱
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?????文件???????9674??2011-08-21?22:52??matlab?ransac\ransac.m

?????目錄??????????0??2013-05-07?15:31??matlab?ransac

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?????????????????9674????????????????????2