alesfranek's profile - activity

I know, but what I find weird is that there is clearly a discrepancy between the given homography and the matches voting for the homography (status variable from findHomography) which are drawn. The weirdest thing is that the matches aren't in the green rectangle.

I am doing an image retrieval using Bag of Words. I've constructed the inverted file which is represented by SparseMat. Now I need to multiply the inverted file with the vector of the visual words of the query to get the scores however I'm not really sure how to do it and I didn't find any documentation about it. I've tried to represent the query vector as SparseMat or Mat, but it always says: no operator "*" matches these operands. Does anyone know hot to multiply a SparsaMat without converting it to the dense form? Thanks!

I am basically running this tutorial Features2D + Homography to find a known object.

I run cv::findHomography and visualize only the inliers. It works well and finds a nice rectangle in 99% of the cases so I doubt it is an implementation error. But sometimes the homography is apparently wrong even though the support is sufficient. Is there a chance there is a bug in cv::findHomography?

I would like to refer to this question c++ - opencv's findHomography produces nonsense results. It seems I am not the only one with such problem..

Here is an example how it look like: