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Version 11 (Gary Bradski, 2016-01-12 06:12 pm)

-Gary Bradski
+h2. 2013-XX-XX
 _*Agenda*_
  * .
 *_Minutes_*
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 _*Vadim*_
 <pre>
-Gary Bradski
+[OpenCV 2.4.4: Evgeny + Tegra team]
-Gary Bradski
+OpenCV 2.4.4 is out! Here is the announce: http://opencv.org/opencv-2-4-4-is-out.html
-Gary Bradski
+Big thanks to Tegra team, who took responsibility over the release process (and do that very well) and Evgeny who
-Gary Bradski
+helped a lot, in parallel with the work on the text detection algorithm.
 Gary Bradski
-Gary Bradski
+At the same time, the number of downloads from sf.net/projects/opencvlibrary exceeded 6,000,000!
 Gary Bradski
-Gary Bradski
+.4.5 will almost certainly be released around June 1st, i.e. ~the same time as 2.5.0 (if 2.5.0 is on time)
 Gary Bradski
-Gary Bradski
+[OpenCV 2.5: Vadim]
-Gary Bradski
+Stereo correspondence classes in calib3d have been refactored. Now they have the same class StereoMatcher - the change
-Gary Bradski
+requested by Adrian and several other people.
 Gary Bradski
-Gary Bradski
+The whole module video has been refactored too: Meanshift, Camshift and motion templates have been rewritten in C++,
-Gary Bradski
+background subtractor classes have been cleaned too to adhere OpenCV 2.5 principles.
 Gary Bradski
-Gary Bradski
+The document "Towards OpenCV 2.5" has been written. This is initial todo list and discussion of the key things that
-Gary Bradski
+should be done by 2.5.0. The basic idea is that we should do as much of necessary API changes by 2.5.0 as possible,
-Gary Bradski
+since after that we can not break API for a very long time. Everything else, i.e. implementation-related things, can be
-Gary Bradski
+done in 2.5.x. We already discussed a bit possible modifications in the base Algorithm class.
 Gary Bradski
-Gary Bradski
+[Bilateral filter optimization: Ilya]
-Gary Bradski
+Ilya Lavrenov got back to his previous work - optimization of the bilateral filter. By optimizing the memory access
-Gary Bradski
+pattern he managed to squeeze some more performance (~10% for floating-point images, ~20% for 8-bit images).
 Gary Bradski
-Gary Bradski
+[Text detection: Evgeny]
-Gary Bradski
+I finally realized that it's not quite fair to call this a Matas algorithm, since the first author of the paper is his
-Gary Bradski
+student Neumann. So, let's call it NM text detection algorithm. And this is how it's called in the code (more exactly
-Gary Bradski
+ERFilterNM1, 1 is for the first stage).
-Gary Bradski
+Evgeny is finishing work on the 1st stage of the NM algorithm and will switch to another task next week. Convenient and
-Gary Bradski
+flexible API has been developed. Basically, user supplies image an callback (the "classifier") that takes extremal
-Gary Bradski
+region (ER) and returns probability - the measure of how good it is. On output the algorithm gives the list of survived
-Gary Bradski
+extremal regions. Following the paper philosophy, each ER, regardless of its area and shape, takes O(1) space and O(1)
-Gary Bradski
+time to process. The actual region mask can then be extracted using cv::floodfill or cv::threshold + cv::findContours
-Gary Bradski
+functions.
 Gary Bradski
-Gary Bradski
+[github statistics]
-Gary Bradski
+Over 35 pull requests have been closed during the last week.
-Gary Bradski
+</pre>
 Gary Bradski
 *_Action Items_*
 *Gary*
  * .
 *Vincent*
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 *Vadim*
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 *Victor*
-Gary Bradski
+ * .
 _*From Last Time*_
 *Gary*
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 *Victor*
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 Gary Bradski
-Gary Bradski
+<pre>
-Gary Bradski
+      <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-Gary Bradski
+</pre>

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