seeking advice on HoG applicability
Lisa Torrey
lisa.torrey at gmail.com
Mon Jul 8 12:06:36 EDT 2013
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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