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	<title>Catherine McCurry &#187; 3D Sensing and Visualization</title>
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	<link>http://itp.nyu.edu/~cvm232/blog</link>
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		<title>Paths at the ITP Spring &#8217;10 Show</title>
		<link>http://itp.nyu.edu/~cvm232/blog/paths-at-the-itp-spring-10-show/</link>
		<comments>http://itp.nyu.edu/~cvm232/blog/paths-at-the-itp-spring-10-show/#comments</comments>
		<pubDate>Thu, 03 Nov 2011 17:46:04 +0000</pubDate>
		<dc:creator>curry</dc:creator>
				<category><![CDATA[3D Sensing and Visualization]]></category>
		<category><![CDATA[Site Specific]]></category>
		<category><![CDATA[Sound+City]]></category>

		<guid isPermaLink="false">http://itp.nyu.edu/~cvm232/blog/?p=453</guid>
		<description><![CDATA[Paths is an immersive 3D sound sculpture that a viewer performs by moving their body through space. The physical manifestation of the piece is an empty space inhabited by a distracted, and slowly wandering participant.  A white line along the floor suggests a possible navigation of the sculpture. By navigating the sculpture, the viewer encounters [...]]]></description>
			<content:encoded><![CDATA[<p>Paths is an immersive 3D sound sculpture that a viewer performs by moving their body through space. The physical manifestation of the piece is an empty space inhabited by a distracted, and slowly wandering participant.  A white line along the floor suggests a possible navigation of the sculpture.</p>
<p>By navigating the sculpture, the viewer encounters a spatialized sonic landscape that is mapped to their physical location using a Kinect 3D camera and custom software written in openFrameworks. The combination of sounds at any spot in the sculpture is unique, as is every trip through it.</p>
<p><a href="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/11/paths.jpg"></a><a href="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/11/paths-e1320336019942.jpg"></a><a href="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/11/paths-e1320336189665.jpg"><img class="aligncenter size-full wp-image-454" title="paths" src="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/11/paths-e1320336189665.jpg" alt="" width="664" height="575" /></a></p>
<p><iframe src="http://player.vimeo.com/video/31530647" width="695" height="391" frameborder="0" webkitAllowFullScreen allowFullScreen></iframe></p>
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		<title>The Path: Score and Performance</title>
		<link>http://itp.nyu.edu/~cvm232/blog/the-path-score-and-performance/</link>
		<comments>http://itp.nyu.edu/~cvm232/blog/the-path-score-and-performance/#comments</comments>
		<pubDate>Wed, 27 Apr 2011 18:32:54 +0000</pubDate>
		<dc:creator>curry</dc:creator>
				<category><![CDATA[3D Sensing and Visualization]]></category>
		<category><![CDATA[Sound+City]]></category>

		<guid isPermaLink="false">http://itp.nyu.edu/~cvm232/blog/?p=352</guid>
		<description><![CDATA[For the score assignment, I designed an instrument using the Kinect and OpenFrameworks. I arranged several sounds in a 3D space, conceptual mountains of sound. The volume of each sound is governed by the position of a performer within the space. The pan of each sound is controlled by the performer&#8217;s level (crouching and standing [...]]]></description>
			<content:encoded><![CDATA[<p>For the score assignment, I designed an instrument using the Kinect and OpenFrameworks. I arranged several sounds in a 3D space, conceptual mountains of sound. The volume of each sound is governed by the position of a performer within the space. The pan of each sound is controlled by the performer&#8217;s level (crouching and standing will cause the sound to move from left to right and back again).</p>
<p>I then designed a score, in the form of a path along the floor that a performer would walk along in order to perform the piece from mesh fabric strips. At every knot/bow in the score, the performer should crouch. At the end of the path, the performer should slowly back off of the mat.</p>
<p><iframe src="http://player.vimeo.com/video/22475763" width="640" height="424" frameborder="0"></iframe></p>
<p>The sonic content will probably change in the future. I will also probably tweak it so that the performer being too close, or accidentally exiting the sensing range of the Kinect will not cause the sound to cut out abruptly.</p>
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		<title>3D Sensing and Visualization Wrap-Up</title>
		<link>http://itp.nyu.edu/~cvm232/blog/3d-sensing-and-visualization-wrap-up/</link>
		<comments>http://itp.nyu.edu/~cvm232/blog/3d-sensing-and-visualization-wrap-up/#comments</comments>
		<pubDate>Wed, 30 Mar 2011 02:55:41 +0000</pubDate>
		<dc:creator>curry</dc:creator>
				<category><![CDATA[3D Sensing and Visualization]]></category>

		<guid isPermaLink="false">http://itp.nyu.edu/~cvm232/blog/?p=303</guid>
		<description><![CDATA[Week 1 &#8211; Slitscan Camera with Toby, Matt, and Fred By taking a video with camera motion and then recombining various frame slices into a single image, we can simulate various camera positions and orientations that were not captured in the initial video. Shmuel Peleg et al&#8217;s OmniStereo: 3D Panorama is a good example. Much [...]]]></description>
			<content:encoded><![CDATA[<p><strong>Week 1 &#8211; Slitscan Camera with Toby, Matt, and Fred</strong></p>
<p>By taking a video with camera motion and then recombining various frame  slices into a single image, we can simulate various camera positions and  orientations that were not captured in the initial video.</p>
<div>Shmuel Peleg et al&#8217;s <a href="http://www.vision.huji.ac.il/stereo/">OmniStereo: 3D Panorama</a> is a good example. Much more information including other applications  on this type of technique can be gleaned from Peleg&#8217;s hour-long <a href="http://www.youtube.com/watch?v=VlWFwZQGvJw">Google Tech Talk</a>.</div>
<div>More information about slit scanning and examples of artwork can be found on Golan Levin&#8217;s <a href="http://www.flong.com/texts/lists/slit_scan/">informal catalogue of slit-scan video artworks and research</a>.</div>
<p><iframe src="http://player.vimeo.com/video/21730567" width="640" height="480" frameborder="0"></iframe></p>
<p><a href="https://github.com/electronicwhisper/Slitscan-3D">source </a></p>
<p><strong>Week 2 &#8211; Bounding box and centroid</strong></p>
<p><iframe src="http://player.vimeo.com/video/21678409" width="640" height="536" frameborder="0"></iframe></p>
<p><a href="https://github.com/currycurry/3dSavWeek2">source</a></p>
<p><strong>Week 3 &#8211; Pointcloud color interaction</strong></p>
<p><iframe src="http://player.vimeo.com/video/21678476" width="640" height="536" frameborder="0"></iframe></p>
<p><a href="https://github.com/currycurry/3dSavWeek3">source</a></p>
<p><strong>Week 4 &#8211; Experiments with mesh and shaders (mostly failed experiments)</strong></p>
<p><iframe src="http://player.vimeo.com/video/21678651" width="640" height="536" frameborder="0"></iframe></p>
<p><a href="https://github.com/currycurry/3dSavWeek4.1">source</a></p>
<p><iframe src="http://player.vimeo.com/video/21679310" width="640" height="536" frameborder="0"></iframe></p>
<p><a href="https://github.com/currycurry/3dSavWeek4.2">source</a></p>
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		<item>
		<title>Experiments with Kinect RGB+Infrared cameras</title>
		<link>http://itp.nyu.edu/~cvm232/blog/experiments-with-kinect-rgbinfrared-cameras/</link>
		<comments>http://itp.nyu.edu/~cvm232/blog/experiments-with-kinect-rgbinfrared-cameras/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 14:16:15 +0000</pubDate>
		<dc:creator>curry</dc:creator>
				<category><![CDATA[3D Sensing and Visualization]]></category>

		<guid isPermaLink="false">http://itp.nyu.edu/~cvm232/blog/?p=287</guid>
		<description><![CDATA[]]></description>
			<content:encoded><![CDATA[<p><iframe src="http://player.vimeo.com/video/21431835" width="640" height="424" frameborder="0"></iframe></p>
<p><iframe src="http://player.vimeo.com/video/21437489" width="640" height="424" frameborder="0"></iframe></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Holographic Warpaint &#8211; 3D Sensing and Visualization Final</title>
		<link>http://itp.nyu.edu/~cvm232/blog/holographic-warpaint/</link>
		<comments>http://itp.nyu.edu/~cvm232/blog/holographic-warpaint/#comments</comments>
		<pubDate>Thu, 24 Mar 2011 12:34:29 +0000</pubDate>
		<dc:creator>curry</dc:creator>
				<category><![CDATA[3D Sensing and Visualization]]></category>
		<category><![CDATA[Project Development Studio]]></category>
		<category><![CDATA[Video Sculpture]]></category>

		<guid isPermaLink="false">http://itp.nyu.edu/~cvm232/blog/?p=282</guid>
		<description><![CDATA[I&#8217;ve been thinking about this project since last spring, and made a failed attempt last semester in ICM. When the Kinect came out, I knew it was a solution, which is why I&#8217;m in this class. I worked on a production that adapted Samuel Delaney&#8217;s novel, Dhalgren, for the stage. One of my favorite images [...]]]></description>
			<content:encoded><![CDATA[<p>I&#8217;ve been thinking about this project since last spring, and made a failed attempt last semester in ICM. When the Kinect came out, I knew it was a solution, which is why I&#8217;m in this class.</p>
<p>I worked on a production that adapted Samuel Delaney&#8217;s novel, <em>Dhalgren</em>, for the stage. One of my favorite images from the book was not realized in the play and it&#8217;s stuck with me as a design problem that I know there&#8217;s a solution to (see my final proposal from ICM last semester for more background).</p>
<p>In the book, members of the Scorpion gangs wear projector necklaces when they roam the streets at night. With the touch of a button, the necklaces produce a holographic animal that surrounds their body and identifies them &#8211; dragons, mammoths, unrecognizable blobs when they&#8217;re not working correctly.</p>
<p>I had previously envisioned a solid, neon colored animal shape for these shields, and thought of using skeleton tracking with OpenNI to animate a 3D character. I was nervous about the animated character, though, and pretty sure it would look dumb.</p>
<p>A simple, and I think effective, solution occurred to me late in the game. I reimagined the design of the holograms &#8211; they could be skinned as the creatures rather than shaped like them. I modified an example from class to remove the background, then map pixel information from existing images to the depth image from the Kinect. I projected this onto two layers of mesh that I stood behind, producing a faux 3D projection effect. I tried a couple images &#8211; two dinosaurs and a lizard.</p>
<p>Here&#8217;s a diagram of my setup:</p>
<p><a href="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/03/final-setup.jpg"><img class="aligncenter size-large wp-image-313" title="final setup" src="http://itp.nyu.edu/~cvm232/blog/wp-content/uploads/2011/03/final-setup-1024x700.jpg" alt="" width="695" height="475" /></a></p>
<p>This is a study for an effect to be used in a live performance.</p>
<p><iframe src="http://player.vimeo.com/video/21431745" width="640" height="424" frameborder="0"></iframe></p>
<p><iframe src="http://player.vimeo.com/video/21430947" width="640" height="424" frameborder="0"></iframe></p>
<p><iframe src="http://player.vimeo.com/video/21431132" width="640" height="424" frameborder="0"></iframe></p>
<p><a href="https://github.com/currycurry/3dSavFinal.RaptorSkin">source</a> (this is also the code for the RGB experiments in the post above)</p>
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