ICAD Kinect Demos….

Arduino, Bluetooth, Canon, Computer Vision, Electronics, Gesture, Google, graphics, image recognition, Kinect, Physical Computing, Research, robotics, Ryerson University, Second Life, Technology
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…
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Nuit Blanche: Multitorch

Art, image recognition, multitouch, Nuit Blanche, Research
Toronto Nuit Blanche was a blast. For those of you who don't know:Nuit Blanche (literally White Night or All-Nighter in French) is an annual all-night arts festival. Its exact beginning is disputed between Paris, St Petersburg, and Berlin, but, taking elements from all of these, the idea of a night-time festival of the arts has spread around the world since 1997, taking hold from Montreal to Madrid and Lima to Leeds. A Nuit Blanche will typically have museums, private and public art galleries, and other cultural institutions open and free of charge, with the centre of the city itself being turned into a de facto art gallery, providing space for art installations, performances (music, film, dance, performance art), themed social gatherings, and other activities.This year the local Toronto Artist and…
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TinEye Image Finger Printing Technology….Find out who’s stealing your images

image recognition, Photography
Just came across Idée's new baby, TinEye. Have you ever wondered why it is that you can't just go to google images (or similar image search engine) and look for images based on image content and not tags, names and such. Well it's because it's damn hard to do and frankly until now I haven't seen one that actually worked properly. That said, I think the guys at TinEye have it figured out quite nicely. Their system does NOT use keywords, text, names or tags. They have developed a proprietary image identification technology that creates a image finger print for a given image. This allows them to do amazing partial matches, even if the image has been cropped, resized or modified. Although their database of images is not as large…
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