Restructuring the project

Sorry I haven't had much time to update the blog.

I am attaching some of the slides from my weekly progress report as a series of images as most of what I have to say would be redundant. I discuss the workflow necessary for a fully automated image classification system, and the step in that pipeline that I will be focusing on.

At the start of the week, I tried to look into identifying different parts of the insect, such as head/thorax/abdomen. Professor David Kriegman (UCSD Computer Vision) pointed me into the direction of a part-modeling paper: http://www.cs.cornell.edu/~dph/papers/pict-struct-ijcv.pdf
Professor Serge Belongie (UCSD Computer Vision) suggested I take a look at HoG features (Histogram of Oriented gradients: http://en.wikipedia.org/wiki/Histogram_of_oriented_gradients#Gradient_computation)

I also looked into this paper on part-modeling using HoG features:
http://ttic.uchicago.edu/~dmcallester/lsvm-pami.pdf

I've been trying to write code for extracting HoG features, since OpenCV only provides code for extracting descriptors. I would like to manipulate the features manually and play around with them, so that is why I am writing code for it. I hope to have the code for HoG features implemented by next week and some images of the histograms that I can show for demonstration.