adjorlu's profile - activity

Funny you mention it, I have actually applied for phd funding for a project that might require this unsupervised :)

Hopefully a suitable solution will come up soon...

Thansk guys! However, I need a completely unsupervised methods such as the one described [in this blog]. (Perhas this is what you refer to Berak? (http://bitsearch.blogspot.dk/2013/02/...)

However, their solution is not performing good enough.

I have implemented the following using opencv algorithms:

1. Face detection using haar-cascade. saving the cropped and re-size face image in a folder.
2. Manually clustering the faces in their own folder. Jonas faces will go in "Jonas" folder and Pernilles faces go into "Pernille" folder manually.
3. code that automatically creates a CSV file based on the folder structure. A csv file to be used by a face recognition algorithm to train on
4. Eigenfaces that trains on the database and can recognize those faces. this performs really well!

My problem is step 2. I want the system to run without any supervision. So what can I do to place each face in its own specific folder without me having to manually placing "Jonas" in a "Jonas" folder and "Pernille" in the "Pernille" folder. In other words, how can I get a unsupervised face clustering op and running in OpenCV? :)

A similar solution to the suggested [unsupervised face clustering].(http://bitsearch.blogspot.dk/2013/02/unsupervised-face-clustering-with-opencv.html)
However their proposed solution, as they state it in the blog is not working properly.

Any help is greatly appreciated!