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	<title>Comments on: Noob Adventures in Machine Vision, Part 1</title>
	<atom:link href="http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/</link>
	<description>Not quite a Yegge long.</description>
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		<title>By: Brian Grey</title>
		<link>http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/comment-page-1/#comment-41</link>
		<dc:creator>Brian Grey</dc:creator>
		<pubDate>Sun, 16 Nov 2008 23:05:57 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/#comment-41</guid>
		<description>My view is never to reinvent what already exists, so following that principal, you might want to take a look at Roborealm, www.roborealm.com - or spend some time on my machine vision blog and follow some of the other links I provide. http://machinevision4users.blogspot.com/</description>
		<content:encoded><![CDATA[<p>My view is never to reinvent what already exists, so following that principal, you might want to take a look at Roborealm, <a href="http://www.roborealm.com" rel="nofollow">http://www.roborealm.com</a> &#8211; or spend some time on my machine vision blog and follow some of the other links I provide. <a href="http://machinevision4users.blogspot.com/" rel="nofollow">http://machinevision4users.blogspot.com/</a></p>
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		<title>By: Jake Voytko</title>
		<link>http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/comment-page-1/#comment-38</link>
		<dc:creator>Jake Voytko</dc:creator>
		<pubDate>Sat, 15 Nov 2008 14:12:55 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/#comment-38</guid>
		<description>A friend of mine did this exact project in college. His algorithm was divided into two phases: skin detection, and gesture recognition. 

He found a paper on arbitrary skin recognition, which gives you &quot;Yes/No&quot; values for each pixel&#039;s skin-ness. Since the person is wearing a shirt, this gives you two arms and the head. He then compared the person to each gesture and took the most likely one.

If you got your system working, good job! It&#039;s important to try problems on your own.</description>
		<content:encoded><![CDATA[<p>A friend of mine did this exact project in college. His algorithm was divided into two phases: skin detection, and gesture recognition. </p>
<p>He found a paper on arbitrary skin recognition, which gives you &#8220;Yes/No&#8221; values for each pixel&#8217;s skin-ness. Since the person is wearing a shirt, this gives you two arms and the head. He then compared the person to each gesture and took the most likely one.</p>
<p>If you got your system working, good job! It&#8217;s important to try problems on your own.</p>
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		<title>By: Phil</title>
		<link>http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/comment-page-1/#comment-35</link>
		<dc:creator>Phil</dc:creator>
		<pubDate>Fri, 14 Nov 2008 03:49:58 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.ijw.co.nz/chris/index.php/2008/11/noob-adventures-in-machine-vision-part-1/#comment-35</guid>
		<description>Check out Hornetseye:

http://www.wedesoft.demon.co.uk/hornetseye-api/files/HornetsEye-txt.html

A machine vision framework consisting of C++ and Ruby.  The creator of Hornetseye did a great demo if it at OSCON &#039;08.  As part of the demo he aimed his camera at the projection screen his presentation was projected on and he was able to manipulate objects on his laptop&#039;s desktop just by pointing at the projection screen.  Very impressive.</description>
		<content:encoded><![CDATA[<p>Check out Hornetseye:</p>
<p><a href="http://www.wedesoft.demon.co.uk/hornetseye-api/files/HornetsEye-txt.html" rel="nofollow">http://www.wedesoft.demon.co.uk/hornetseye-api/files/HornetsEye-txt.html</a></p>
<p>A machine vision framework consisting of C++ and Ruby.  The creator of Hornetseye did a great demo if it at OSCON &#8217;08.  As part of the demo he aimed his camera at the projection screen his presentation was projected on and he was able to manipulate objects on his laptop&#8217;s desktop just by pointing at the projection screen.  Very impressive.</p>
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