Improving HoG
Dai Yan
kanshuzhi at gmail.com
Mon Nov 16 20:52:36 EST 2015
Hello, Martin
I am seeking for HOG implementation with "overlap feature".
May I know whether you have commited your patches or could you please share
your branch?
Thanks
Best Regards
Dai Yan
在 2015年1月28日星期三 UTC+8上午3:18:34,Martin Savc写道:
>
> I've been implementing my own HoG transform looking at different sources.
> While the implementation in scikit-image seems to lack certain features
> (multiple normalization schemes, general block overlap, Gaussian block
> window, trillinear interpolation/weighting of bin assignments,...) these
> don't seem to be that important, at least when applied to my current
> problem (eye blink analysis).
>
> Most of these would increase complexity, giving the implementation a
> complicated look, with little gain. I've also been looking into some
> practical improvements - integral histogram, separating the cell-block
> histogram feature to use it with other dense feature transforms such as
> LBP, a HoG visualization function that would render the visualization at
> higher resolutions that the original image.
>
> Would any of these be welcomed additions to scikit-image?
>
> Regards,
> Martin Savc
> PuppySaturation
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20151116/10f49122/attachment.html>
More information about the scikit-image
mailing list