function?chns?=?chnsCompute（?I?varargin?）
%?Compute?channel?features?at?a?single?scale?given?an?input?image.
%
%?Compute?the?channel?features?as?described?in:
%??P.?Doll醨?Z.?Tu?P.?Perona?and?S.?Belongie
%??“Integral?Channel?Features“?BMVC?2009.
%?Channel?features?have?proven?very?effective?in?sliding?window?object
%?detection?both?in?terms?of?*accuracy*?and?*speed*.?Numerous?feature
%?types?including?histogram?of?gradients?（hog）?can?be?converted?into
%?channel?features?and?overall?channels?are?general?and?powerful.
%
%?Given?an?input?image?I?a?corresponding?channel?is?a?registered?map?of?I
%?where?the?output?pixels?are?computed?from?corresponding?patches?of?input
%?pixels?（thus?preserving?overall?image?layout）.?A?trivial?channel?is
%?simply?the?input?grayscale?image?likewise?for?a?color?image?each?color
%?channel?can?serve?as?a?channel.?Other?channels?can?be?computed?using
%?linear?or?non-linear?transformations?of?I?various?choices?implemented
%?here?are?described?below.?The?only?constraint?is?that?channels?must?be
%?translationally?invariant?（i.e.?translating?the?input?image?or?the
%?resulting?channels?gives?the?same?result）.?This?allows?for?fast?object
%?detection?as?the?channels?can?be?computed?once?on?the?entire?image
%?rather?than?separately?for?each?overlapping?detection?window.
%
%?Currently?three?channel?types?are?available?by?default?（to?date?these
%?have?proven?the?most?effective?for?sliding?window?object?detection）:
%??（1）?color?channels?（computed?using?rgbConvert.m）
%??（2）?gradient?magnitude?（computed?using?gradientMag.m）
%??（3）?quantized?gradient?channels?（computed?using?gradientHist.m）
%?For?more?information?about?each?channel?type?including?the?exact?input
%?parameters?and?their?meanings?see?the?respective?m-files?which?perform
%?the?actual?computatons?（chnsCompute?is?essentially?a?wrapper?function）.
%?The?converted?color?channels?serve?as?input?to?gradientMag/gradientHist.
%
%?Additionally?custom?channels?can?be?specified?via?an?optional?struct
%?array?“pCustom“?which?may?have?0?or?more?custom?channel?definitions.?Each
%?custom?channel?is?generated?via?a?call?to?“chns=feval（hFuncIpFunc{:}）“.
%?The?color?space?of?I?is?determined?by?pColor.colorSpace?use?the?setting
%?colorSpace=‘orig‘?if?the?input?image?is?not?an?‘rgb‘?image?and?should?be
%?left?unchanged?（e.g.?if?I?has?multiple?channels）.?The?input?I?will?have
%?type?single?and?the?output?of?hFunc?should?also?have?type?single.
%
%?“shrink“?（which?should?be?an?integer）?determines?the?amount?to?subsample
%?the?computed?channels?（in?applications?such?as?detection?subsamping?does
%?not?affect?performance）.?The?params?for?each?channel?type?are?described
%?in?detail?in?the?respective?function.?In?addition?each?channel?type?has
%?a?param?“enabled“?that?determines?if?the?channel?is?computed.?If
%?chnsCompute（）?is?called?with?no?inputs?the?output?is?the?complete
%?default?params?（pChns）.?Otherwise?the?outputs?are?the?computed?channels
%?and?additional?meta-data?（see?b

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????2152662??2010-02-18?11:02??seq\1.seq

?????文件????6012783??2010-02-18?11:02??seq\2.seq

?????文件????4302571??2010-02-18?11:02??seq\3.seq

?????文件????5185326??2010-02-18?11:02??seq\4.seq

?????文件?????????79??2014-11-01?21:04??seqtoolbox-master\.gitignore

?????文件???????9239??2014-11-01?21:04??seqtoolbox-master\channels\chnsCompute.m

?????文件??????10523??2014-11-01?21:04??seqtoolbox-master\channels\chnsPyramid.m

?????文件???????5019??2014-11-01?21:04??seqtoolbox-master\channels\chnsScaling.m

?????文件???????1918??2014-11-01?21:04??seqtoolbox-master\channels\Contents.m

?????文件???????3067??2014-11-01?21:04??seqtoolbox-master\channels\convBox.m

?????文件???????2318??2014-11-01?21:04??seqtoolbox-master\channels\convMax.m

?????文件???????4403??2014-11-01?21:04??seqtoolbox-master\channels\convTri.m

?????文件???????2966??2014-11-01?21:04??seqtoolbox-master\channels\fhog.m

?????文件???????1213??2014-11-01?21:04??seqtoolbox-master\channels\gradient2.m

?????文件???????3427??2014-11-01?21:04??seqtoolbox-master\channels\gradientHist.m

?????文件???????2340??2014-11-01?21:04??seqtoolbox-master\channels\gradientMag.m

?????文件???????3460??2014-11-01?21:04??seqtoolbox-master\channels\hog.m

?????文件???????1257??2014-11-01?21:04??seqtoolbox-master\channels\hogDraw.m

?????文件???????2228??2014-11-01?21:04??seqtoolbox-master\channels\imPad.m

?????文件???????2324??2014-11-01?21:04??seqtoolbox-master\channels\imResample.m

?????文件???????2535??2014-11-01?21:04??seqtoolbox-master\channels\private\chnsTestCpp.cpp

?????文件??????10301??2014-11-01?21:04??seqtoolbox-master\channels\private\convConst.cpp

?????文件??????18665??2014-11-01?21:04??seqtoolbox-master\channels\private\convConst.mexa64

?????文件??????22124??2014-11-01?21:04??seqtoolbox-master\channels\private\convConst.mexmaci64

?????文件??????29184??2014-11-01?21:04??seqtoolbox-master\channels\private\convConst.mexw64

?????文件??????18892??2014-11-01?21:04??seqtoolbox-master\channels\private\gradientMex.cpp

?????文件??????23054??2014-11-01?21:04??seqtoolbox-master\channels\private\gradientMex.mexa64

?????文件??????26988??2014-11-01?21:04??seqtoolbox-master\channels\private\gradientMex.mexmaci64

?????文件??????38912??2014-11-01?21:04??seqtoolbox-master\channels\private\gradientMex.mexw64

?????文件??????26988??2014-11-01?21:04??seqtoolbox-master\channels\private\gradientMexNew.mexmaci64

............此處省略690個文件信息