User talk:Tpl

Welcome!

Hello, Tpl, and welcome to Wikipedia! Thank you for your contributions. I hope you like the place and decide to stay. Here are a few good links for newcomers:

I hope you enjoy editing here and being a Wikipedian! Please sign your name on talk pages using four tildes (~~~~); this will automatically produce your name and the date. If you need help, check out Wikipedia:Questions, ask me on my talk page, or place {{helpme}} on your talk page and someone will show up shortly to answer your questions. Again, welcome! - CrazyRussian talk/contribs/email 16:21, 8 June 2006 (UTC)[reply]

Hi! I answered your question for the DOG... cheers, Meduz 13:23, 27 December 2006 (UTC)[reply]

Request for edit summary

When editing an article on Wikipedia there is a small field labeled "Edit summary" under the main edit-box. It looks like this:

The text written here will appear on the Recent changes page, in the page revision history, on the diff page, and in the watchlists of users who are watching that article. See m:Help:Edit summary for full information on this feature.

Filling in the edit summary field greatly helps your fellow contributors in understanding what you changed, so please always fill in the edit summary field, especially for big edits or when you are making subtle but important changes, like changing dates or numbers. Thank you. – Oleg Alexandrov (talk) 16:45, 20 January 2007 (UTC)[reply]

Re:Computer vision vs. robotics

Hi Tpl - I have replied to your message at Wikipedia talk:WikiProject Robotics. See you there!--Jiuguang (talk) 13:42, 8 July 2008 (UTC)[reply]

RfD nomination of a template redirect

I have nominated a redirect to a template for discussion. Your opinions on the matter are welcome; please participate in the discussion by adding your comments at the discussion page. Thank you. MBisanz ^talk 14:46, 29 October 2008 (UTC)[reply]

Does scale work as advertised for small blobs?

I've implemented the laplacian of gaussian method described on this page and it seems to detect things very nicely, but not at the expected t values. Here is a clickable example (takes a few seconds to run): http://bubba.net.images.alaska.edu/~bkerin/gmcon_safe/gmcon.cgi?operations=type:load,load_name:blobtest,type:run_model> For single-pixel blobs, the normalized laplacian is most negative at the smallest scale, which makes sense I guess. For 3x3 blobs, t = 1.4 gives the most negative result, and for 8x8 blobs t = 10 gives the most negative result. Does the agorithm respond differently for small blobs or is there something wrong with my implementation? Bkerin2 (talk) 20:42, 5 May 2009 (UTC)[reply]

For security reasons, I'm hesitant to follow a link to executable code at a foreign web site. Hence, I have not looked at your data. A general answer with the theory underlying this question can, however, be found at the discussion page Talk:Blob_detection. Tpl (talk) 08:26, 8 May 2009 (UTC)[reply]

Scale space usage in non-computational physics

I saw that you reverted my edit in the article Scale space and changed computational physics back to physics, but you didn't leave any motivation. I assume that all applications of scale spaces within physics are within computational physics, or do you have any example of an application of scale space theory is used in physics which is not in computational physics? —Kri (talk) 19:31, 22 December 2012 (UTC)[reply]

Award

		The Computing Star
		For your contributions to articles related to signal, visual and image processing, I'm awarding you this star. Regards, Samsara 21:35, 10 August 2015 (UTC)[reply]

ArbCom elections are now open!

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