Hello All!
This is my first time attempting to describe polygons and I am a little confused.
Each sample in datasets has "n"-points in (x,y), cartesian coordinate and I want to estimate density function for n-points. Since it is high-dim problem depending on "n" and our interest is to estimate the probability of the event with "n-points", I connect n points and make a n-polygon to reduce dimensionality.
So, I am trying to find polygon descriptors to characterize/classify polygons when the number of edge(vertex) is fixed. So far, area and perimeter of polygons are considered, but I think it is not enough for the difference by rotation.
What I hope to do is to find few variables to explain polygons, rotation-sensitive.
I would really appreciate your comments and suggestions.
Thanks.
Mina
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Mina Yoo
PSU
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