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		<title>Cycling 74  &#187;  Topic: [OT?] pointcloud animation workflow: from live scene capture to modeling app</title>
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		<pubDate>Tue, 18 Jun 2013 20:06:11 +0000</pubDate>
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					<guid>http://cycling74.com/forums/topic/ot-pointcloud-animation-workflow-from-live-scene-capture-to-modeling-app/#post-60427</guid>
					<title><![CDATA[[OT?] pointcloud animation workflow: from live scene capture to modeling app]]></title>
					<link>http://cycling74.com/forums/topic/ot-pointcloud-animation-workflow-from-live-scene-capture-to-modeling-app/#post-60427</link>
					<pubDate>Fri, 02 Dec 2011 22:44:43 +0000</pubDate>
					<dc:creator>Nadav Assor</dc:creator>

					<description>
						<![CDATA[
						<p>Hi, this may slightly OT but could certainly be done in Jitter, so here goes:<br />
Been working on making a limited DIY 3d live scene capture + virtual camera solution. The virtual camera recorder is up and running , all made in Max and JS, so far using a Gametrak controller and a wireless 6DOF IMU. </p>
<p>However, the live 3d scene capture is the current problem -<br />
I am using a kinect for this and cannot for the life of me figure out the proper workflow for capturing and being actually able to use a pointcloud sequence (i.e a &#8220;4d animation&#8221;, where there&#8217;s a point cloud file saved for each frame) in 3d modeling software (currently using Maya but can use any other if it&#8217;ll work better). There&#8217;s an &#8220;obj sequence loader&#8221; plugin for Maya, but it&#8217;s broken with recent versions.</p>
<p>The capturing part is manageable, currently using &#8220;Brekel Kinect&#8221; for this, and it could quite easily be written in Jitter or whatever to be faster- currenly getting only 10 fps at most (would love to find a utility that would process raw kinect depth+image pairs into a sequence of obj files).<br />
But I have no clue how to actually import a sequence of obj / ply etc files into Maya or similar. Any pointers welcome! </p>
<p>Will share the virtual camera code once it&#8217;s generalized and cleaned enough.</p>
<p>best<br />
Nadav</p>
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