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?comp

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2013-10-15?09:48??toolbox\
?????目錄???????????0??2013-10-15?09:48??toolbox\channels\
?????文件????????9488??2013-09-29?06:54??toolbox\channels\chnsCompute.m
?????文件???????10780??2013-09-29?06:54??toolbox\channels\chnsPyramid.m
?????文件????????5201??2013-09-29?06:54??toolbox\channels\chnsScaling.m
?????文件????????1765??2013-09-29?06:54??toolbox\channels\Contents.m
?????文件????????3204??2013-09-29?06:54??toolbox\channels\convBox.m
?????文件????????2441??2013-09-29?06:54??toolbox\channels\convMax.m
?????文件????????4560??2013-09-29?06:54??toolbox\channels\convTri.m
?????文件????????3098??2013-09-29?06:54??toolbox\channels\fhog.m
?????文件????????1310??2013-09-29?06:54??toolbox\channels\gradient2.m
?????文件????????3558??2013-09-29?06:54??toolbox\channels\gradientHist.m
?????文件????????2455??2013-09-29?06:54??toolbox\channels\gradientMag.m
?????文件????????3597??2013-09-29?06:54??toolbox\channels\hog.m
?????文件????????1360??2013-09-29?06:54??toolbox\channels\hogDraw.m
?????文件????????2349??2013-09-29?06:54??toolbox\channels\imPad.m
?????文件????????2446??2013-10-15?09:29??toolbox\channels\imResample.m
?????目錄???????????0??2013-10-15?09:48??toolbox\channels\private\
?????文件????????2655??2013-09-29?06:54??toolbox\channels\private\chnsTestCpp.cpp
?????文件???????10613??2013-10-15?09:30??toolbox\channels\private\convConst.cpp
?????文件???????18665??2013-09-29?06:54??toolbox\channels\private\convConst.mexa64
?????文件???????29184??2013-09-19?13:25??toolbox\channels\private\convConst.mexw64
?????文件???????19354??2013-10-15?09:30??toolbox\channels\private\gradientMex.cpp
?????文件???????23054??2013-09-29?06:54??toolbox\channels\private\gradientMex.mexa64
?????文件???????38912??2013-09-29?06:51??toolbox\channels\private\gradientMex.mexw64
?????文件????????5609??2013-09-29?06:54??toolbox\channels\private\imPadMex.cpp
?????文件???????28577??2013-09-29?06:54??toolbox\channels\private\imPadMex.mexa64
?????文件???????40960??2013-09-29?06:54??toolbox\channels\private\imPadMex.mexw64
?????文件????????8042??2013-09-29?06:54??toolbox\channels\private\imResampleMex.cpp
?????文件???????21350??2013-09-29?06:54??toolbox\channels\private\imResampleMex.mexa64
?????文件???????34304??2013-09-05?07:56??toolbox\channels\private\imResampleMex.mexw64
............此處省略648個文件信息