2017-04-06 04:36:35 -0600 | received badge | ● Student (source) |
2016-01-18 22:28:18 -0600 | asked a question | Is Feature Detection Feasible on Android? I'm getting poor results using a variety of Feature Detection Algos on Android. I cannot use SURF, SIFT, or BRISK because they are too slow (I'm using a Samsung Galaxy S5). So I've worked with ORB Detector/Orb Extractor, as well as with Orb Detector/FREAK extractor, both of which perform in real-time. However they aren't very good at finding my original training object in any scene with even small amounts of clutter. I filter by Hamming distance. I apply cross-check and ratio test. I apply KNN. I use various combinations of these. I can't get a clear signal out of the noise. This photo below probably indicates the highest quality feature matching I can get, and there are many points that are not correct. The high number of errors would prevent an algo from confidentally identifying the object. Is it possible to get a higher quality result? Possibly my code is wrong, so here are the key lines of code, extracted from a larger class. In this example I'm using ORB Feature Detector and Descriptor Extractor with BF HAMMINGLUT matcher, and a simple distance filter. |
2015-11-27 10:51:36 -0600 | commented answer | Android Memory leak on camera rotation Thanks for the explanation and the solution. |
2015-11-27 00:57:57 -0600 | asked a question | Android Memory leak on camera rotation I have an app that needs to run in portrait mode and I want to have a small camera preview displayed on the screen. Opencv defaults to landscape for preview. The following code rotates it back to portrait: The problem is that this code leaks memory and crashes after 10 or 15 seconds. I have tried various permutations of using release and using temporary matrices. It always seems to crash on the resize() function so I suppose that is where the leak is. For the above example these are the declarations: initialized in onCameraViewStarted(): I need help managing the memory correctly. I'd also like to understand what the problem is. Since Java is garbage collected it feels mighty strange to be required to call release(). |
2014-12-26 14:34:52 -0600 | received badge | ● Popular Question (source) |
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2012-07-30 22:54:47 -0600 | asked a question | Unhandled exception: facerecognizer vs2010 windows 7 x64. I have built a debug x64 VS2010 project containing the facerec_demo.cpp class from the samples directory. I am use the ATT database with the supplied csv file from the samples directory. I am using OpenCV2.4.2. Downloaded 4 days ago. I get: Unhandled exception at 0x000007fef18e26bb in FaceRecon.exe: 0xC0000005: Access violation reading location 0xffffffffffffffff at this line: int predictedLabel = model->predict(testSample); Any ideas? Has this been tested on 64 bit debug mode? Thanks! |