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2017-09-04 07:34:20 -0600 | commented answer | Feature Matching; findObject: Concept behind MultiDetection Thanks again. At the moment I: Extract the features as KeyPoints of scene (2500) and object (110) compute the descript |
2017-09-04 07:33:07 -0600 | commented answer | Feature Matching; findObject: Concept behind MultiDetection Thanks again. At the moment I: Extract the features as KeyPoints of scene (2500) and object (110) compute the descript |
2017-09-04 07:02:38 -0600 | edited question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-09-04 06:58:22 -0600 | commented answer | Feature Matching; findObject: Concept behind MultiDetection thank you for your help, i tried to implement your approach (see code in the original question) - but either i have a mi |
2017-09-04 06:51:37 -0600 | edited question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-09-04 06:50:42 -0600 | edited question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-09-04 06:49:19 -0600 | edited question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-09-04 06:41:38 -0600 | edited question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-09-04 04:23:38 -0600 | asked a question | Feature Matching; findObject: Concept behind MultiDetection Feature Matching; findObject: Concept behind MultiDetection Hello everyone, for the feature-matching modul there is a g |
2017-07-26 05:36:56 -0600 | commented question | how can i reshape a Mat 2D to vector<vector<Mat>> Okay, i didn't use the |
2017-07-25 12:03:00 -0600 | commented question | how can i reshape a Mat 2D to vector<vector<Mat>> So you want a |
2017-07-21 05:23:57 -0600 | commented question | UndistortPoints randomly returning huge values Just a guess: Are your data-types overflowing? |
2017-07-20 08:18:33 -0600 | commented question | Sorting by size I think in this vide someone is doing a similar detection for tracking. Also you can take a look at the simple Blob detector. |
2017-07-18 08:05:25 -0600 | commented answer | CV_64F ConvertTo CV_8U Problem with cast Thank you that was exactly what i was looking for! For my understandings: the scaling factor 255 means the double was multiplied by that and casted afterwards, is that right? Also thank you for your second comment: I didn't know the range operator. But for single pixel acess at is the right way? |
2017-07-18 07:27:12 -0600 | asked a question | CV_64F ConvertTo CV_8U Problem with cast Hi everyone, I try to cast a CV_64F Mat into a CV_8U Mat for thresholding (See code below). Unfortunately this doesn't work the way i want it to. If you uncomment the cout-command you will see that the whole mat contains ones. What am i doing wrong? Thank you for your help! |
2017-07-13 06:23:54 -0600 | commented question | Plugins for Visual Debugging of OpenCV applications in c++ Thank you @berak, this looks great. Unfortunately i was not able to test it yet -> the cvv-modul in my contribute installation seems to be missing. |
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2017-07-12 16:09:33 -0600 | commented question | Plugins for Visual Debugging of OpenCV applications in c++ Its more a question of comfort than needing: Both tools seem to provide a nearly autonomously updating display of used Mat-files. |
2017-07-12 16:06:47 -0600 | commented question | Detect a specific Voronoi like pattern |
2017-07-12 15:49:07 -0600 | asked a question | Plugins for Visual Debugging of OpenCV applications in c++ Unfortunately my search for an useful debugging tool was not successful so far. For VS there is the plugin image-watch. Python-Applications can be supplemented with Visual logging . I was wondering if there is any adequate solutions for other IDEs (qt-creator) with this function. Thanks a lot. |
2017-07-12 04:56:12 -0600 | commented question | Descriptors/Features of non-textured parts Thank you @gfx for your help. The question was you described as case(1). The box doesn't need to be in the image. Training a classifier for finding the same tool with nearly no perspective changes seems to be a overkill, doesn't it? But thanks again for your help. |
2017-07-12 04:49:07 -0600 | commented question | C++ opencv3 no ideas how to divide these thresholded image . Perhaps the getting points where the curvature is over a threshold can help you? I have tried it (see picture) but there seems to be a problem left. Also I don't know if it is repeatable for you specific problem. |
2017-07-11 11:10:28 -0600 | commented question | C++ opencv3 no ideas how to divide these thresholded image To get this right: The problem that you have is to find the marked corners and the strain we are seeing shows 4 objects (perhaps overlapping each other)? To the line you have drawn: Is it always nearly horizontal and the smallest distance to an other corner? |
2017-07-11 11:01:22 -0600 | commented answer | Rotate points by an angle Seems to be a good solution for the rotation as well. My problem was asked a bit unclear: Instead of fitting a Mat to the corresponding points, my output-Points should begin at the point (0,0) and be positiv. I managed to do this by subtract the bb.x and bb.y values from every single point. The Question is answered - thank you again @LBerger and sorry for the duplicate with SO. |
2017-07-11 10:56:13 -0600 | marked best answer | chamfer Matching error in implementation I found a implimentation of chamfer Matching here
The program runs, but the results are not as i expected. I translated the image 7 Pixels in each direction and still get (0,0) as a match, because the matching image is just 1x1 px. I would divide the matching part in the following steps: 1. model points from canny output are stored in a vector 2. A matching space is created ->*if the model dimensions are substracted, does this mean, that the template has to fit on the image ? * 3. For every templatepoint the value of distance transform is added to a matching score. This is where i especially don't understand the following line: Thank you for your help: whole code: |
2017-07-11 10:54:21 -0600 | received badge | ● Scholar (source) |
2017-07-11 09:33:40 -0600 | commented question | Rotate points by an angle Thank you LBerger, I thought about asking the question directly at stackoverflow, because the solution was from there but you were faster with your comment than I was with deleting the question. If the duplication is troublesome, I can remove it here. To your comment: With Mat(p[i]) you mean the input point, don't you? |
2017-07-11 09:14:30 -0600 | commented question | How can I detect the color of a certain portion of an image if I know the coordinates of this portion as a rectangle? To get the color of an image at a specific position you can use |
2017-07-11 08:54:18 -0600 | asked a question | Rotate points by an angle Hello, i am trying to rotate a set of points in a vector<points> by an user-defined angle and found a solution at SO. In the following code the dimension of the output image (rotated by 45 degree) is correct but the position of the points seem to be shifted. Can someone give me a tip, what the problem is? |