2018-12-13 05:28:05 -0600 | received badge | ● Great Answer (source) |
2017-10-17 13:47:54 -0600 | received badge | ● Nice Answer (source) |
2016-11-06 16:14:56 -0600 | commented question | pyrDown, pyrUp vs resize (blur operations) For a fair comparison you should use |
2016-10-24 07:06:58 -0600 | received badge | ● Nice Answer (source) |
2016-03-21 05:39:42 -0600 | received badge | ● Good Answer (source) |
2016-01-27 18:15:52 -0600 | answered a question | Clear path detection using edge detection In general, if any kind of edge detection is desired it would avoid blurring as it actually makes the edge detection only harder. If filtering is needed then use a median or a bilateral filter as these are edge-preserving. |
2016-01-27 18:12:55 -0600 | answered a question | edge corners are not sharp with canny filter I think this is a bug. Canny should not "modify" the edge, it should only find the ridge. |
2015-12-10 11:38:29 -0600 | received badge | ● Nice Answer (source) |
2015-12-08 10:29:07 -0600 | received badge | ● Nice Answer (source) |
2015-09-29 16:10:22 -0600 | commented answer | How to initialize a FeatureDetector with OpenCV 3? Yep, that was my stupid mistake. Thanks for the hint! But: Why does |
2015-09-28 13:08:19 -0600 | asked a question | How to initialize a FeatureDetector with OpenCV 3? With OpenCV 3 I get a SegFault when running the The code is roughly like the following: I tried both 8uc3 and 8uc1 images, both ORB and AKAZE and it always segfaulted. Tested on OS X 10.10. |
2015-07-20 07:25:51 -0600 | received badge | ● Nice Answer (source) |
2015-05-21 17:20:59 -0600 | commented answer | How does Flann match descriptors? |
2015-05-19 01:03:24 -0600 | commented answer | How does Flann match descriptors? The descriptors are vectors but directions are given in the "feature space", not in 2D. Consider them as arrays of values describing image patches. |
2015-05-18 16:04:01 -0600 | answered a question | How does Flann match descriptors? FLANN allows to match descriptors by computing the approximate Euclidean distance between the descriptor vectors. |
2015-05-11 13:34:23 -0600 | answered a question | re-order my code into a function Before you refer to a variable with |
2015-05-06 08:42:26 -0600 | commented answer | [C++] Efficient element-by-element pixel access? Yes that makes it expclit. The values is never rounded but truncated to [0, 255] though. I do not know if that's correct for your application. |
2015-05-05 16:45:49 -0600 | answered a question | Viola Jones Algorithm:Detector Scaling You should not scale the classification window but do a multi-scale search on the input image. That is, you incrementally downsize the input image while your classification window size is kept fixed. |
2015-05-05 16:43:36 -0600 | answered a question | [C++] Efficient element-by-element pixel access? You are mixing types. You have a |
2015-05-05 16:41:29 -0600 | edited question | [C++] Efficient element-by-element pixel access? Hello, I know this has been asked many times and I've gone over the docs here but cannot seem to find an answer to my specific issue. I am trying to map the results from k-means clustering back into an image with reduced colors. My old code works and does this using the Mat.at accessor, but it is very slow. I am trying to re-write this using pointers to improve performance, but right now the clustered image has many diagonal lines and the colors/pixels are not in the right place. This works but is slow } EDIT: The below code is working I had a silly mistake where I forgot that labels was M*Nx1 rather than MxNx1. If there is any room for improvement please let me know! Sorry if this is a stupid question, I am very new to C++. I'm sure I have something wrong with how the destination data is assigned. I've checked the source data by printing debug statements and that seems to be correct. |
2015-05-05 16:36:50 -0600 | commented answer | Derivation of Epipolar Line Thanks for your comment as it preserves some knowledge. The original slides are not available anymore... |
2015-04-21 16:10:08 -0600 | received badge | ● Enthusiast |
2015-03-25 14:17:48 -0600 | received badge | ● Nice Answer (source) |
2015-03-25 04:36:19 -0600 | received badge | ● Good Answer (source) |
2014-12-30 07:06:07 -0600 | commented question | I need details of FAST Algorithm That's true. Now it looks correct, but it did not show up in the first place. |
2014-12-30 04:39:05 -0600 | commented answer | [ANNOUNCEMENT] Welcome back to the OpenCV Q&A forum 2.0! When editing a question, the one who edits it will be the new "original poster". The timestamp of editing is also wrong. |
2014-12-30 04:39:05 -0600 | commented question | I need details of FAST Algorithm The forum system is wrong. I did not ask this question, I just edited the question. |
2014-12-30 04:39:04 -0600 | edited question | I need details of FAST Algorithm How can ı find operating logic, fundamentals, application areas and matlab codes of FAST Algorithm. |
2014-12-30 04:39:04 -0600 | answered a question | I need details of FAST Algorithm |
2014-12-09 13:47:45 -0600 | marked best answer | Is it safe to use cv::Ptr<> within STL containers? AFAIK Is it safe to use |
2014-11-18 00:36:28 -0600 | received badge | ● Nice Answer (source) |
2014-11-09 06:55:28 -0600 | answered a question | Use allocated buffer for Mat Data Pointer If you want to "fill the container with your frame" then there is no way around allocating matrix and copying your data into that matrix. However, if you just want to wrap your data pointer by a cv::Mat object (provided that the data organization of this kind makes sense) you can simply call the wrapper constructor: You can wrap your frame as simple as Note that the destruction of If you then want to obtain a real copy it is probably the easiest to do See also http://docs.opencv.org/modules/core/doc/basic_structures.html#mat-mat |
2014-08-11 14:05:49 -0600 | received badge | ● Nice Answer (source) |
2014-07-31 08:26:32 -0600 | received badge | ● Nice Answer (source) |
2014-07-03 09:50:27 -0600 | received badge | ● Good Answer (source) |
2014-03-02 16:02:11 -0600 | received badge | ● Nice Answer (source) |
2014-03-01 17:40:55 -0600 | received badge | ● Good Answer (source) |
2014-02-25 06:10:54 -0600 | commented answer | How to change contrast of image? You may simplify the inner part of the first loop to
|
2014-02-10 11:46:20 -0600 | edited answer | How to change contrast of image? A quick and dirty contrast enhancement via matrix expressions and a linear transformation: For instance, set |