The publication A machine vision extension for the Ruby programming language is available for download on the Digital Commons Repository of Sheffield Hallam University. The paper describes early work on the HornetsEye Ruby-extension in context of the Nanorobotics project.
Are you also notoriously leading your department into problems by underspending on your budget? I am proposing a 3-step solution:
Update: So far I have received estimates amounting to £60,000.
After reading the paper Lucas-Kanade 20 Years On: A Unifying Framework, I’ve implemented a Lucas-Kanade tracker with HornetsEye. The video shows tracking of a texture patch using a 2-D affine transform as model.
The publication Steerable Filters Generated With the Hypercomplex Dual-Tree Wavelet Transform is available for download on the Digital Commons Repository of Sheffield Hallam University.
I have released version 0.20 of the Ruby extension HornetsEye. The new release comes with an implementation of the Dual-Tree Hypercomplex Wavelet Transform. The DHWT is useful for filtering 2-D signals.
