<em>Update:  While the post below discusses LibJacket (no longer a product), you can do the same thing in the newer, but different, <a href="http://accelereyes.com/arrayfire">ArrayFire library</a>.  Improved performance benchmarks and a simpler API are the results of moving from LibJacket to ArrayFire.</em>

Mcclanahoochie just <a href="http://mcclanahoochie.com/blog/2011/08/image-processing-with-libjacket-opencv/" target="_blank">posted</a> some code and instructions for pairing OpenCV with LibJacket to get accelerated computer vision.  You can do really fast image processing on video cam feeds too, see picture below:
<p style="text-align: center;"><a href="http://blog.accelereyes.com/blog/wp-content/uploads/2011/08/Screen-shot-2011-08-24-at-2.42.52-PM.png"><img class="aligncenter size-large wp-image-1713" title="Screen-shot-2011-08-24-at-2.42.52-PM" src="http://blog.accelereyes.com/blog/wp-content/uploads/2011/08/Screen-shot-2011-08-24-at-2.42.52-PM-1024x640.png" alt="" width="614" height="384" /></a></p>
<p style="text-align: left;">Really cool stuff.  Computer vision is really hot with applications emerging in defense, radiology, games, automotive, and other consumer applications.</p>
<p style="text-align: left;">Computer vision algorithms like these are also going mobile.  For instance, we have started to build <a href="http://accelereyes.com/mobile" target="_blank">LibJacket for Mobile applications</a>, which runs on Tegra, PowerVR, and other mobile GPU chips.  Portable cameras + portable GPU power makes for some fascinating new application possibilities.</p>
<p style="text-align: left;">Are you working on computer vision applications?  If so, we'd love to hear from you.</p>
<p style="text-align: left;">Related: <a title="Image Processing with ArrayFire and OpenCV on the GPU" href="http://blog.accelereyes.com/blog/2012/09/19/image-processing-with-arrayfire-and-opencv/">ArrayFire+OpenCV.</a></p>