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📄 face detection in matlab.mht

📁 face recognition test source code
💻 MHT
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Now:</B></DIV></TD>
                <TD><INPUT class=3Dsmall type=3Dsubmit value=3D" .zip " =
name=3DSubmit></TD></TR>
              <TR>
                <TD vAlign=3Dtop width=3D10>&nbsp;</TD>
                <TD vAlign=3Dtop><B>Rating:</B> </TD>
                <TD><IMG height=3D12 alt=3D"" hspace=3D1=20
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                  <DIV style=3D"DISPLAY: inline; MARGIN-LEFT: 20px"><A =
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                  =
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o?objectId=3D13701&amp;objectType=3Dfile&amp;all">15=20
                  reviews</A> &nbsp;&nbsp;<B><A class=3Dsmall=20
                  =
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bjectId=3D13701&amp;objectType=3Dfile#review_submission">Review=20
                  this file</A></B> </DIV></TD></TR>
              <TR>
                <TD vAlign=3Dtop width=3D10>&nbsp;</TD>
                <TD vAlign=3Dtop width=3D89><B>Author:</B></TD>
                <TD colSpan=3D2><A=20
                  =
href=3D"http://www.mathworks.com/matlabcentral/fileexchange/loadAuthor.do=
?objectType=3Dauthor&amp;objectId=3D1095997">Mikael&nbsp;Nilsson</A></TD>=
</TR>
              <TR>
                <TD vAlign=3Dtop width=3D10 height=3D15>&nbsp;</TD>
                <TD vAlign=3Dtop width=3D89 =
height=3D15><B>Summary:</B></TD>
                <TD colSpan=3D2 height=3D15>Face Detection using local =
SMQT=20
                  features and split up SnoW classifier</TD></TR>
              <TR>
                <TD vAlign=3Dtop width=3D10 height=3D15>&nbsp;</TD>
                <TD vAlign=3Dtop width=3D125 height=3D15><B>MATLAB =
Release:</B></TD>
                <TD vAlign=3Dbottom colSpan=3D2=20
            height=3D15>R14SP2</TD></TR></TBODY></TABLE></TD></TR>
        <TR>
          <TD vAlign=3Dtop width=3D10>&nbsp;</TD>
          <TD vAlign=3Dtop width=3D135><B>Description:</B></TD>
          <TD class=3Dlnwrp width=3D456>Face detection system =
implemented to run=20
            under Matlab. Based on local Successive Mean Quantization =
Transform=20
            (SMQT) features and split up Sparse Network of Winnows =
(SNoW)=20
            classifier. Based on the paper: Face Detection using local =
SMQT=20
            features and split up SNoW classifier. See further =
information in=20
            readme.txt and license.txt in the zip-file. <BR></TD></TR>
        <TR>
          <TD vAlign=3Dtop width=3D10>&nbsp;</TD>
          <TD vAlign=3Dtop colSpan=3D3>&nbsp; =
</TD></TR></TBODY></TABLE><INPUT=20
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              <TR>
                <TD width=3D286><B class=3Dfeh4blk>File Details</B></TD>
                <TD width=3D228>&nbsp;</TD></TR>
              <TR>
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          <TD vAlign=3Dtop width=3D"1%">&nbsp;</TD>
          <TD vAlign=3Dtop width=3D"25%"><B>File Id:</B></TD>
          <TD width=3D"20%">13701</TD>
          <TD vAlign=3Dtop width=3D"25%"><B>Average rating:</B></TD>
          <TD width=3D"29%">2.0</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD vAlign=3Dtop>&nbsp;</TD>
          <TD vAlign=3Dtop><B>Size:</B></TD>
          <TD>2016 KB</TD>
          <TD vAlign=3Dtop><B># of reviews:</B></TD>
          <TD>15</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD vAlign=3Dtop>&nbsp;</TD>
          <TD vAlign=3Dtop><B>Submitted:</B></TD>
          <TD>2007-01-18</TD>
          <TD vAlign=3Dtop><B>Downloads:</B></TD>
          <TD>2410</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD vAlign=3Dtop>&nbsp;</TD>
          <TD vAlign=3Dtop><B>Subscribers:</B></TD>
          <TD>4</TD>
          <TD colSpan=3D2>&nbsp;</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD>&nbsp;</TD>
          <TD vAlign=3Dtop><B>Keywords:</B></TD>
          <TD vAlign=3Dtop colSpan=3D3>SMQT, SNoW, Face =
Detection</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD vAlign=3Dtop width=3D10>&nbsp;</TD>
          <TD vAlign=3Dtop colSpan=3D4>&nbsp;</TD></TR>
        <TR bgColor=3D#f4f4f4>
          <TD>&nbsp;</TD>
          <TD vAlign=3Dtop><B>Zip file contents:</B></TD>
          <TD vAlign=3Dtop colSpan=3D3>license.txt, ex02.m, readme.txt, =
ex01.m,=20
            plotsize.m, facefind.m, facefind.dll, plotbox.m,=20
        test01.jpg</TD></TR></TBODY></TABLE><BR><!--Acknowledgements =
--><!--Acknowledgements --><BR>
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              <TR>
                <TD width=3D286><B class=3Dfeh4blk>User Reviews</B></TD>
                <TD width=3D228>
                  <DIV class=3Dsmall align=3Dright>Number of Reviews: =
15</DIV></TD></TR>
              <TR>
                <TD colSpan=3D2><IMG height=3D5 alt=3D""=20
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src=3D"http://www.mathworks.com/matlabcentral/images/blue_band_536x5.gif"=
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        <TR>
          <TD width=3D9 bgColor=3D#dcdfe4></TD>
          <TD bgColor=3D#dcdfe4><B>Date</B>:=20
            2007-08-01<BR><STRONG>From</STRONG>: suchita&nbsp;agarwal=20
            (richu86agarwal@yahoo.com) <BR><STRONG>Rating</STRONG>: N/A=20
            <BR><STRONG>Comments</STRONG>: its good to see. </TD></TR>
        <TR>
          <TD width=3D10 bgColor=3D#dcdfe4></TD></TR>
        <TR>
          <TD width=3D9 bgColor=3D#dcdfe4></TD>
          <TD bgColor=3D#dcdfe4><B>Date</B>:=20
            2007-06-07<BR><STRONG>From</STRONG>: kemmou&nbsp;abdelali=20
            <BR><STRONG>Rating</STRONG>: N/A =
<BR><STRONG>Comments</STRONG>: c'es=20
            un algo efficace </TD></TR>
        <TR>
          <TD width=3D10 bgColor=3D#dcdfe4></TD></TR>
        <TR>
          <TD width=3D9 bgColor=3D#dcdfe4></TD>
          <TD bgColor=3D#dcdfe4><B>Date</B>:=20
            2007-06-07<BR><STRONG>From</STRONG>: oei&nbsp;loei=20
            (abdel130@hotmail.com) <BR><STRONG>Rating</STRONG>: N/A=20
            <BR><STRONG>Comments</STRONG>: best algorithe.oei </TD></TR>
        <TR>
          <TD width=3D10 =
bgColor=3D#dcdfe4></TD></TR></TBODY></TABLE><BR><IMG height=3D11=20
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