seeking advice on HoG applicability

[Lisa Torrey]

Thanks!

I'll look into alternative ways of producing features.

-Lisa


On Monday, July 8, 2013 6:28:52 AM UTC-4, Stefan van der Walt wrote:
>
> Hi Lisa 
>
> Interestingly, Adam Wisniewski was working on this one-class 
> classification problem at the recent SciPy2013 sprint.  Olivier Grisel 
> and Nelle Varoquaux from the sklearn team were able to give us some 
> helpful advice, and it might be worth getting in touch with them as 
> well. 
>
> On Wed, Jul 3, 2013 at 9:10 PM, Lisa Torrey <lisa.... at gmail.com<javascript:>> 
> wrote: 
> > - I have much less data. (Just 77 positives and 78 negatives, compared 
> to 
> > Dalal's 1239 and 12180.) 
>
> You'll probably have to do some kind of cross-validation. 
>
> > - My images aren't all the same size, like the pedestrian images are. 
> (I'm 
> > not sure if this would matter?) 
>
> Perhaps investigate multi-scale texture features, such as the wavelet 
> coefficients (see http://www.pybytes.com/pywavelets/ ; even simple 
> statistics might suffice). 
>
> > - My images are much higher resolution. (I've been downscaling them by a 
> > factor of 8, but the feature vectors are still enormous.) 
>
> You'd want to extract some features that help the classifier, e.g. 
> daisy (http://scikit-image.org/docs/dev/auto_examples/plot_daisy.html), 
> texture features via grey-level co-occurrence matrices, or haralick 
> features (we don't yet have those in skimage, although they are 
> available in Luis Coelho's Mahotas). 
>
> Regards 
> Stéfan 
>
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