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POWhat is currently considered the "best" algorithm for 2D point-matching?
 

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  1. POWhat is currently considered the "best" algorithm for 2D point-matching?
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    <p>I have two lists containing x-y coordinates (of stars). I could also have magnitudes (brightnesses) attached to each star. Now each star has random position jiggles and there can be a few extra or missing points in each image. My question is, "What is the best 2D point matching algorithm for such a dataset?" I guess both for a simple linear (translation, rotation, scale) and non-linear (say, n-degree polynomials in the coordinates). In the lingo of the point matching field, I'm looking for the algorithms that would win in a shootout between 2D point matching programs with noise and spurious points. There may be a different "winners" depending if the labeling info is used (the magnitudes) and/or the transformation is restricted to being linear.</p> <p>I am aware that there are many classes of 2D point matching algorithms and many algorithms in each class (literally probably hundreds in total) but I don't know which, if any, is the consider the "best" or the "most standard" by people in the field of computer vision. Sadly, many of the articles to papers I want to read don't have online versions and I can only read the abstract. Before I settle on a particular algorithm to implement it would be good to hear from a few experts to separate the wheat from the chaff.</p> <p>I have a working matching program that uses triangles but it fails somewhat frequently (~5% of the time) such that the solution transformation has obvious distortions but for no obvious reason. This program was not written by me and is from a paper written almost 20 years ago. I want to write a new implementation that performs most robustly. I am assuming (hoping) that there have been some advances in this area that make this plausible.</p>
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    1. USDr. Person Person II
    1. USDr. Person Person II
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    1. COI'm interested into this one as well.
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      1. USfulmicoton
    2. COThis question would have been perfect for the upcoming [Computer Science Stack Exchange](http://area51.stackexchange.com/proposals/35636/computer-science-non-programming?referrer=pdx8p7tVWqozXN85c5ibxQ2). So, if you like to have a place for questions like this one, please go ahead and help this proposal to take off!
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