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<H1><FONT size=+2>Face Detection</FONT></H1></CENTER>
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<H2><FONT size=+1>Henry Chang and Ulises Robles</FONT></H2></CENTER>
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<H2><U>Source Code</U></H2>
<P></CENTER><FONT face=arial size=-1><FONT color=red><B><U>Please
Note:</U></B></FONT> We have received many inquiries about the source code. This
code does not intend to solve someone's particular project and it is not
complete (it is around 85%). The purpose of this code is to give you an idea of
how we implemented <B>part</B> of the algorithm. <BR><BR>Please do not send us
any email regarding code questions or <B><A
href="http://www-cs-students.stanford.edu/~robles/ee368/skincolor.html#skinsamples">skin
samples</A></B>, because it will <B><U>NOT</U></B> be answered. Other project
questions are welcome. Thank you. </FONT>
<P><BR>
<UL>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/ChromaDist.m">ChromaDist.m</A>
: returns the chromatic components of the image low pass filtering is carried
out to remove noise. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/ColorDistPlot.m">ColorDistPlot.m</A>
: plot the chromatic color distribution of the image. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/SegmentSkin.m">SegmentSkin.m</A>
: Assume the skinmodel.m is run. Then, produce two images,
skinlikelihood greyscale image, skin1and skin segment binary image, skin2.
<BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/skinmodel.m">skinmodel.m</A>:
32500 skin samples from 17 color images will be used here to determine the the
color distribution of a human face in chromatic color space. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/detect.m">detect.m</A>
: main routine that given theskin segmented image and the original image,
determines which regions correspond to a face and marks them with a rectangle.
<BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/processregion.m">processregion.m</A>
: plot the chromatic color distribution of the image. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/faceInfo.m">faceInfo.m</A>
: Gets some information of the region that might indicate a face.
<BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/center.m">center.m</A>:
Computes the center of mass or centroid of a skin region. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/orient.m">orient.m</A>:
Determines the inclination angle of the region with respect to the vertical
line. <BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/isThisAFace.m">isThisAFace.m</A>
<BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/clean_model.m">clean_model.m</A>
<BR>
<LI><A
href="http://www-cs-students.stanford.edu/~robles/ee368/recsize.m">recsize.m</A>
<BR> </LI></UL><BR>
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<P><B>Next: </B><A
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name=tex2html164> References</A><B> Previous: </B><A
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name=tex2html164>Conclusion</A><B> Contents: </B><A
href="http://www-cs-students.stanford.edu/~robles/ee368/main.html"
name=tex2html164> Face Detection</A>
<P>
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<BR><I><FONT size=+1>Henry Chang and Ulises Robles</FONT></I> <BR><I><FONT
size=+1>Last modified: Thu. May 25, 2000</FONT></I> </BODY></HTML>
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