, Computer Vision
, image recognition
, Physical Computing
, Ryerson University
, Second Life
On May 17, 2011 Ryersons' Interactive Computing Applications and Design Group (ICAD) demonstrated their latest projects. The session starts with a demonstration of using Microsoft Kinect hardware to control a computer mouse. Next, the group shows the use of a gestural interface to control Google Earth, followed by a demo of using Kinect to control a avatar in Second Life. The session continues with a demonstration of a potential application to control a small arduino based robot over bluetooth using gestures. Following this the ICAD staff show the use of Kinect as a tracking and control mechanism for a Point-Tilt-Zoom (PTZ) camera. This approach allows them to track up to five people without active trackers. The data from the Kinect camera is used to instruct the PTZ camera where to…
Great little video on how to setup AR marker recognition under QC. Even has a nice mellow background music :-).
Came across this video today and my first thought was.....magic??....Hmmm.....gotta be a video editing trickbut once I watched it for the fourth time it slowly started to click. This is by far the most innovative use of AR I've seen.....It's fascinating.....It's Magic :-). Watch Marco Tempest do his thing in this video....be warned though...you might have to watch it a couple of times.....it's addictive. Lots of behind the scenes pictures here.BTW. Marco writes: this is 100% real-time stuff - No post-processing. Programmed In C++ with OpenFrameworks, OpenCV, ARToolkitPlus, MacCam and other Open Source goodies…
Speaking of hand tracking, here is a video of a guy playing around with an unknown system (looks a bit like linux). Very cool demo and almost perfect tracking. Not sure if it's IR or not, you can see him in the corner of the screen, but can't quite tell how it's done. Anyways, I'm posting it since it's one of the better ones I've seen. From the description:A C++ computer vision application to emulate the mouse and the keyboard in any application using hand gestures and a low-cost webcam.
Great tutorial video by Johnny Lee from Carnegie Mellon University showing how using an IR LED array and some reflective tape, you can track fingers in thin air using the Wii Remote. Great alternative to those FTIR (Frustrated Total Internal Reflection) tables.