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	<title>Comments on: PhotoSynth viewer with pose estimator WebService</title>
	<atom:link href="http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/</link>
	<description>ASTRE Henri experiments with Ogre3D and web stuff</description>
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		<title>By: Stoney Vintson</title>
		<link>http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/comment-page-1/#comment-7052</link>
		<dc:creator>Stoney Vintson</dc:creator>
		<pubDate>Mon, 19 Sep 2011 11:41:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.visual-experiments.com/?p=1887#comment-7052</guid>
		<description>Whoops.  You have an openCV link on your demo page. Disregard my previous comment.
Google, Microsoft and others are expanding their use of machine learning algorithms applied to the computer vision domain.  They use segmentation to break the image into pieces and then use Bayesian inference for recognition.  Prof Fei Fei Li&#039;s presentations on machine learning applied to computer vision.
http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html
http://videolectures.net/mlas06_li_gmvoo/
Look at the web service http://www.iqengines.com/  You have 1000 free queries to play with.  You can even submit your own training data.</description>
		<content:encoded><![CDATA[<p>Whoops.  You have an openCV link on your demo page. Disregard my previous comment.</p>
<p>Google, Microsoft and others are expanding their use of machine learning algorithms applied to the computer vision domain.  They use segmentation to break the image into pieces and then use Bayesian inference for recognition.  Prof Fei Fei Li&#8217;s presentations on machine learning applied to computer vision.<br />
<a href="http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html" rel="nofollow">http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html</a><br />
<a href="http://videolectures.net/mlas06_li_gmvoo/" rel="nofollow">http://videolectures.net/mlas06_li_gmvoo/</a></p>
<p>Look at the web service <a href="http://www.iqengines.com/" rel="nofollow">http://www.iqengines.com/</a>  You have 1000 free queries to play with.  You can even submit your own training data.</p>
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		<title>By: Stoney Vintson</title>
		<link>http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/comment-page-1/#comment-7051</link>
		<dc:creator>Stoney Vintson</dc:creator>
		<pubDate>Mon, 19 Sep 2011 10:34:55 +0000</pubDate>
		<guid isPermaLink="false">http://www.visual-experiments.com/?p=1887#comment-7051</guid>
		<description>You are probably aware of Willow Garage&#039;s support of openCV ( computer vision ) and PCL ( point cloud libraries ) in C++.  There are also Python libraries for interfacing to openCV and Nvidia CUDA acceleration for some of openCV.  http://opencv.willowgarage.com/wiki/  http://pointclouds.org/</description>
		<content:encoded><![CDATA[<p>You are probably aware of Willow Garage&#8217;s support of openCV ( computer vision ) and PCL ( point cloud libraries ) in C++.  There are also Python libraries for interfacing to openCV and Nvidia CUDA acceleration for some of openCV.  <a href="http://opencv.willowgarage.com/wiki/" rel="nofollow">http://opencv.willowgarage.com/wiki/</a>  <a href="http://pointclouds.org/" rel="nofollow">http://pointclouds.org/</a></p>
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		<title>By: Henri</title>
		<link>http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/comment-page-1/#comment-6466</link>
		<dc:creator>Henri</dc:creator>
		<pubDate>Fri, 12 Aug 2011 13:43:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.visual-experiments.com/?p=1887#comment-6466</guid>
		<description>@David: I wish I could have the servers needed to make this demo live. But I&#039;m not Microsoft nor Google! This is why I really hope that Microsoft is working in that direction with Read/Write World...
The pose is computed using &lt;a href=&quot;http://www.visual-experiments.com/2011/05/09/news-about-opensynther/&quot; rel=&quot;nofollow&quot;&gt;OpenSynther&lt;/a&gt;: I&#039;m not using the photosynth point cloud, only cameras positions to compute my own Sift-based point cloud. Then I&#039;m estimating the pose with a ransac epnp solution using 2d/3d correspondences. You&#039;ll find more information on &lt;a href=&quot;http://www.visual-experiments.com/2010/12/13/augmented-reality-outdoor-tracking-becoming-reality/&quot; rel=&quot;nofollow&quot;&gt;my augmented reality post&lt;/a&gt; which is describing the same tracking algorithm except that it is running on a server in this demo.</description>
		<content:encoded><![CDATA[<p>@David: I wish I could have the servers needed to make this demo live. But I&#8217;m not Microsoft nor Google! This is why I really hope that Microsoft is working in that direction with Read/Write World&#8230; </p>
<p>The pose is computed using <a href="http://www.visual-experiments.com/2011/05/09/news-about-opensynther/" rel="nofollow">OpenSynther</a>: I&#8217;m not using the photosynth point cloud, only cameras positions to compute my own Sift-based point cloud. Then I&#8217;m estimating the pose with a ransac epnp solution using 2d/3d correspondences. You&#8217;ll find more information on <a href="http://www.visual-experiments.com/2010/12/13/augmented-reality-outdoor-tracking-becoming-reality/" rel="nofollow">my augmented reality post</a> which is describing the same tracking algorithm except that it is running on a server in this demo.</p>
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		<title>By: david</title>
		<link>http://www.visual-experiments.com/2011/08/08/photosynth-viewer-with-pose-estimator-webservice/comment-page-1/#comment-6465</link>
		<dc:creator>david</dc:creator>
		<pubDate>Fri, 12 Aug 2011 13:18:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.visual-experiments.com/?p=1887#comment-6465</guid>
		<description>Whow, it looks cool :) Are you planning the pointcloud extension with added photos?
How do you estimete the right pose? I believe that you have only pointcloud downloaded from photosynth and you need to find relation between photo and the pointcloud, or do you have something else?</description>
		<content:encoded><![CDATA[<p>Whow, it looks cool <img src='http://www.visual-experiments.com/blog/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' />  Are you planning the pointcloud extension with added photos?<br />
How do you estimete the right pose? I believe that you have only pointcloud downloaded from photosynth and you need to find relation between photo and the pointcloud, or do you have something else?</p>
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