Showing posts from July, 2012

A filterbank for low-level vision

At the moment I have the pleasure to be at MSRC, working under the supervision of Carsten Rother and Sebastian Nowozin.

We are tackling some low-level vision tasks (as in their recent CVPR paper) and in this context,
filter banks are very useful.
They might also be useful for object detection, since one Gabor rules them all, and Google uses collections of Gabor filters for his image retrieval.

I used the maximum response bank from the website of Andrew Zissermans Visual Geometry group here.

My Python adaption is available as a github gist.
The Root Filter set looks like this: