Hello all. I posted this in GD a couple of days ago but I should really have posted it in here. Hopefully I should get more of a response in here
. Here's my original post:
Hi guys, I'm after a bit of advice.
I've been given an assignment at Uni but I only have 10 days to do it, and I know very little about the subject, so I'm after some suggestions of tutorials/guides/books that may help me.
The task is:
"The purpose of this assignment is to implement an appearance-based program in C/C++ to recognise an object based on a learnt model of the appearnce of the object"
"The minimal requirement is to construct an eigenspace representation of a set of sampled images of an object, and use this subsapce to perform object recognition"
We get additional marks depending on the complexity of the program, e.g. using multiple objects, using SVD, robust statistics etc. However I'm not really fussed about this, I dont think I'm gonna make big progress on it, I'd be happy to get the "minimal requirement" working.
Can anyone point me in the direction of any useful resources?
Thanks very much.

Hi guys, I'm after a bit of advice.
I've been given an assignment at Uni but I only have 10 days to do it, and I know very little about the subject, so I'm after some suggestions of tutorials/guides/books that may help me.
The task is:
"The purpose of this assignment is to implement an appearance-based program in C/C++ to recognise an object based on a learnt model of the appearnce of the object"
"The minimal requirement is to construct an eigenspace representation of a set of sampled images of an object, and use this subsapce to perform object recognition"
We get additional marks depending on the complexity of the program, e.g. using multiple objects, using SVD, robust statistics etc. However I'm not really fussed about this, I dont think I'm gonna make big progress on it, I'd be happy to get the "minimal requirement" working.
Can anyone point me in the direction of any useful resources?
Thanks very much.