ad05's profile - activity

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2017-03-08 10:41:17 -0600	received badge	● Supporter (source)
2017-03-07 12:15:27 -0600	commented answer	How do I compute the fundamental matrix from 2 projection matrices? what about X[3], Y[3], X[0], Y[0] ? what are those?
2017-03-03 07:59:44 -0600	commented answer	How do I compute the fundamental matrix from 2 projection matrices? Thing is I don't know C++ very well, so how do I translate this into a python function?
2017-03-02 16:14:07 -0600	asked a question	How do I compute the fundamental matrix from 2 projection matrices? Supposed I have 2 projection matrices in the form of P1 (3x4 matrix) and P2 (3x4) matrix, is there a function in opencv that could compute the fundamental matrix? Apparently there's a function called fundamentalFromProjections: [http://docs.opencv.org/trunk/d7/d15/g...]) but I couldn't find it in opencv in python.
2017-02-06 10:17:13 -0600	received badge	● Enthusiast
2017-02-06 10:17:13 -0600	received badge	● Enthusiast
2017-02-02 02:30:56 -0600	received badge	● Student (source)
2017-02-01 10:09:01 -0600	asked a question	How do I compute precision and recall from a dataset? I am doing a project on evaluation of different descriptors for stereo image matching, eg. SIFT, SURF,... So far I've got the code to find the features in both images and match them using the tutorials provided. But to evaluate these results, I need some statistics like recall and precision, the problem is I don't know how to verify that these matches are correct. I've read that you need some kind of ground truth, but i don't know where to find it and implement it in OpenCV. I am fairly new to this so any help would be appreciated!