Archive for hot
Augmented Reality with image as marker
März 6th, 2010 • ar, flash, hot
using flash. This is a great SURF implementation in flash! I tested it this week and it works great. Check it out. The code is here. Blogpost is here
ASSURF [multiple references] from Eugene Zatepyakin on Vimeo.
Did you know 4.0
September 16th, 2009 • hot
multitouch without touching
Juli 27th, 2009 • hot, idea, installation, nerdlab
Kyle used a scanner for building a great multitouch which works without touching. Sounds odd – but it’s very cool!
Experimenting with a hacked portable scanner as a linear multitouch input device. Turns out there’s too much buffering in the scanner, which causes latency that makes it difficult to use. But the resolution is really high, if you ever need 60 fps 10,000 pixels wide, try this out!
Linear Multitouch + Scanner Feedback from Kyle McDonald on Vimeo.
great augmented reality business card by toxin
Juli 20th, 2009 • ar, flash, hot
I found via an even greater augmented business card implementation by jonas, a german student.
Great implementation and excellent idea.
Augmented Business Card from jonas on Vimeo.
Face / Mimik tracking in AS3
Juli 20th, 2009 • 2 comments ar, computervision, flash, hot, math, nerdlab
http://play.blog2t.net/terminator-salvation-realtime-machine-vision-as3/
Once again Tomek alias Og2t wrote a great flash demo. This time its about machine vision and just awesome. It’s motion based head / eyetracking with a lot of cool “hacks” like blob detection – histogram analysis – motion detection and more. Furthermore Tomek wants to provide a full framework.
This is a part of the whole video filter framework I am developing just now, the inspiration came from Joa Ebert’s Image Processing library (as far as I know, he’s cooking a complete rewrite). The full source code (including Pixel Bender kernels and examples) will be soon released on Google Code and will feature face/eye tracking/gestures and few other things (surprise!) A lot of people are very sceptic about the whole eye tracking idea, they don’t believe it’s precise enough to make any use of it – I will prove that it is, and it works! (just watch closely how it tracks my eyeballs on the video!)
I tried it, but I still prefer the camshift algorithm for face detection. Anyway: GREAT WORK!