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Name: Jan Wedekind Homepage: http://www.wedesoft.de/ Notes: I'm a computer scientist and currently I'm developing the Ruby real-time computer vision library called HornetsEye. Recent blog entries by wedesoftSyndication: RSS 2.0
I've released a Microsoft Windows version of the Ruby
real-time computer vision library HornetsEye. Now
HornetsEye not only runs under GNU/Linux but under Microsoft
Windows as well! Currently Hornetseye for Windows is pretty
basic since it does not have Video-I/O and cannot yet
display images without the help of Qt4. If you are still
interested you can already download a big package with
installers for Ruby, HornetsEye, Qt4, and a lot more. See installation
instructions for more information.
I have tried to create a software tool which makes implementing computer vision algorithms easy. You can even process images using the interactive Ruby shell. Under GNU/Linux it is already possible to write more sophisticated software such as a Webcam viewer on top of HornetsEye.
Enjoy!
I've dropped developing the graphical programming approach
with Qt-designer. Instead I've started developing the Ruby
real-time computer vision library HornetsEye.
The approach of writing an extension to Ruby has so far gone
quite well and it looks like I'm going to stay with this
approach.
Version 0.2 of the Mimas
computer vision plugin for Qt-designer
was released. It is still relying on an unstable release of
the real-time
computer vision library Mimas. The new version allows to
interactively use Gnuplot within
Qt-designer. Here is a screenshot
of the Gnuplot-plugin for Qt-designer.
Graphical programming in Computer Vision
I've created a first prototype of a plugin for Qt-Designer to graphically compose computer vision software. You can find some screenshots and demonstration videos on the MMVLWiki already. The software is based on the Qt/X11 graphical user interface and on the Mimas C++ real-time computer vision library and therefore will be released as open-source software (planned May 2006).
Computer Vision for Microscopes
The EU MiCRoN project has finished and the Computer Vision Software was delivered. To solve the vision task in a microscopic environment, Geometric Hashing was used as recognition algorithm and the Bounded Hough Transform for tracking in subsequent images. The software is available under the LGPL here. wedesoft certified others as follows:
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