ESSO - Template matching and the tracing controller
Hi,
I'm configuring eSSO Logon Manager, and have some apps that don't match their templates... unless I'm looking at the process with the Tracing Controller, in which case they work fine. Does anyone know what might be happening?
Edit: I have some applications where the login windows have no title. If I remove support for them in eSSO, the apps that were not matching their templates before now do so normally. Any ideas?
(Note: I configured the applications with no login window title by matching any title for the login window, then making a disabled template for the same executable, which would match any non-empty title. If there is a better way to do it (such as a regular expression that only matches the empty string but is not the empty string itself) I'd love to hear about it.
Thanks,
Juan
Edited by: user7289527 on Oct 17, 2008 9:28 AM
Hello,
actually its normalized cross correlation, not just correlation (the difference is in the denominator - normalized correlation is invariant to uniform intensity changes).
I don't know what more there is to say about "how" Match Pattern 4 works. Did you check the normalized cross-correlation formula? Its simple, you can implement it yourself. It basically just moves the template over the image and calculates the normalized correlation score (maybe this will make it clearer?: http://docs.opencv.org/doc/tutorials/imgproc/histograms/template_matching/template_matching.html ). The normalized cross correlation is not the only metric for matching patterns. The only thing to add is that Labview uses two different algorithms (i think there was only low discrepancy sampling in Pattern match 3):
1. Low discrepancy sampling and
2. Pyramid based matching (which is further divided into grayscale and gradient).
These features are used mainly for computational time purpose. For example, pyramid matching reduces the size of the source image and the template and thus achieving less computational cost. You can read about pyramid based correlation online - there are quite a few papers that deal with it...
Anyway, pattern matching will not work with significant scale changes or occlussions. Use geometric matching to deal with these.
Could you show an image of positive and negatve match?
Best regards,
K
https://decibel.ni.com/content/blogs/kl3m3n
"Kudos: Users may give one another Kudos on the forums for posts that they found particularly helpful or insightful."
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all.jpg 211 KB
all2.jpg 113 KB
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