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From: &quot;Allyson Butler&quot; &lt;webinars@em.mathworks.com&gt;
To: &lt;sgauglitz@cs.ucsb.edu&gt;
Subject: Learn Computer Vision with MATLAB
Date: Mon, 10 Oct 2011 14:13:31 -0600
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MathWorks invites you to join us for a webinar on October 21st at 2:00 p.m. EDT.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Computer Vision with MATLAB
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

21 Oct 2011
2:00 PM EDT

Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene.  In this webinar, you will learn about new capabilities for computer vision with the MATLAB product family.  Through product demonstrations, you will see how to:

	* Read and write image and video files
	* Perform typical pre-processing on images and video
	* Detect, extract, and match features
	* Use features to perform video stabilization and stereo image rectification
	* Use features with classification algorithms to recognize image content
	* Display real-time video and insert graphic elements such as text and lines

This webinar assumes you have some experience with MATLAB and Image Processing Toolbox.  We will focus on the new Computer Vision System Toolbox using the following examples:

	* Video stabilization using feature detection, extraction and matching
	* Image recognition using features and classification algorithms

A Q&amp;A session will follow the presentation.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Register for this webinar at: http://click.em.mathworks.com/?qs=f4d32f917986f46e28c4b67647a76d4a4ec57476255cbb481b90b0f51ba024574c160e619b72459e
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

I hope you can join us. If you are unable to attend or have any questions please feel free to contact me.

Allyson Butler
508-647-3023 
allyson.butler@mathworks.com

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

To update your address, send e-mail to service@mathworks.com

© 2011 The MathWorks, Inc.
MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See http://click.em.mathworks.com/?qs=f4d32f917986f46ea6989b00299d73f63a70284f90534838eaaf9ec1c75e66fca93190155cbd951c for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders. 

OPT-OUT Click the link to remove this e-mail address from MathWorks commercial electronic mailing list. http://click.em.mathworks.com/?qs=f4d32f917986f46eb204800cc0d5d48bf03013223470bc23be6c72cc42ed59097e164496c8164398

The MathWorks, Inc. - 3 Apple Hill Drive, Natick, MA 01760 - 508-647-7000

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        MathWorks invites you to join us for a webinar on October 21st at 2:00 p.m. EDT.&lt;br&gt;&lt;br&gt;        
                &lt;h1 style=&quot;font-variant: normal; font-size: 14px; font-weight: normal; font-style: normal; line-height: normal; font-family: Arial, Helvetica, sans-serif; color: #D26E00;&quot;&gt;&lt;strong&gt;Computer Vision with MATLAB&lt;/h1&gt;&lt;/strong&gt;
            
			
	
							
			21 Oct 2011&lt;br&gt;
	        			2:00 PM EDT (Eastern Daylight Time)&lt;br&gt;&lt;br&gt;
										
Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene.  In this webinar, you will learn about new capabilities for computer vision with the MATLAB product family.  Through product demonstrations, you will see how to:&lt;br&gt;&lt;br&gt;
&lt;ul style=&quot;margin: 0 0 10px 50px; padding: 0;&quot;&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Read and write image and video files&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Perform typical pre-processing on images and video&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Detect, extract, and match features&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Use features to perform video stabilization and stereo image rectification&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Use features with classification algorithms to recognize image content&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Display real-time video and insert graphic elements such as text and lines&lt;/li&gt;
&lt;/ul&gt;
&lt;br&gt;
This webinar assumes you have some experience with MATLAB and Image Processing Toolbox.  We will focus on the new Computer Vision System Toolbox using the following examples:&lt;br&gt;&lt;br&gt;
&lt;ul style=&quot;margin: 0 0 10px 50px; padding: 0;&quot;&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Video stabilization using feature detection, extraction and matching&lt;/li&gt;
&lt;li style=&quot;margin: 0; padding: 0 0 2px 5px;&quot;&gt;Image recognition using features and classification algorithms&lt;/li&gt;
&lt;/ul&gt;
&lt;br&gt;
A Q&amp;A session will follow the presentation.&lt;br&gt;&lt;br&gt;

									
	
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        I hope you can join us. If you are unable to attend or have any questions please feel free to contact me.&lt;br&gt;&lt;br&gt;        
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&lt;td&gt;Allyson Butler&lt;br&gt;508-647-3023 &lt;br&gt;&lt;a href=&quot;mailto:allyson.butler@mathworks.com&quot; title=&quot;allyson.butler@mathworks.com&quot; alias=&quot;AgentEmail&quot; style=&quot;text-decoration: underline; color: #0D2B98;&quot;&gt;allyson.butler@mathworks.com&lt;/a&gt;&lt;/td&gt;
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