2016-03-24 07:36:58 -0600 | commented answer | how to restore front view of inclined plane from 3 vector projections Thanks,Tetragramm, I will try. I have no idea about camera matrix members, I will fill them with "1"s or something trivial. Neither I know about where the corresponding "1"s are in my image, so I expect to obtain rectangle with rectangular shape (and it will be a good result itself!), but further stretching along X or Y will do from some other features. |
2016-03-23 09:43:30 -0600 | asked a question | how to restore front view of inclined plane from 3 vector projections I see some plane P in my image I(x,y),which has unknown angle with my image plane. In my image I I can extract 3 projections of vectors a, b ,c, all them are perpendicular to each other in real 3D, so that a and b lie in that plane P, and c is normal to that plane. I do not have that vectors directly, but only their projections to my image plane. How can I get frontal view of that plane P from that vectors projections, if it is possible? |
2016-02-11 10:25:21 -0600 | commented answer | CascadeClassifier::detectMultiScale alogical influence of minSize parameter Thank you for the answers, Steven. So far, there is no sense to set minSize less then model's size. |
2016-02-11 08:50:04 -0600 | commented answer | CascadeClassifier::detectMultiScale alogical influence of minSize parameter So, my image consecutively shrinks by detecMultiScale function (not enlarged) and detection happens in step when object in image becomes equal to model's size, which is fixed. Thus, minSize and maxSize together with -scaleFactor define only number of steps in this loop, not actual minimum (or maximum) possible object size? |
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2016-02-11 05:48:20 -0600 | asked a question | CascadeClassifier::detectMultiScale alogical influence of minSize parameter I work with OpenCV 2.4.9. When I downsize whole image with, lets say, I visualize detecting result. The detection rate of bigger objects stay the same in reduced image, but smaller objects are not detected anymore as they were in the original, larger image. Is there any other, hidden constraint, which I don't know? I use pre-trained model. |
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2015-07-21 09:39:30 -0600 | answered a question | Machine learning save/load problem Just check up loading before using your svm classifier:
CvSVM *mySVM = new CvSVM; mySVM->load("mySVM.xml"); int in= mySVM->get_support_vector_count(); if(in) mySVM->predict(DataRow);
get_support_vector_count() retuns 0 if your resource isn't loaded. |