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| 2016-09-23 13:08:52 -0600 | received badge | ● Enthusiast |
| 2016-07-11 09:55:19 -0600 | answered a question | ORB based comparision -- How to remove the junk matches in the second image Used template matching it worked but ORB is still a problem and answer why that is happening is also great |
| 2016-07-11 09:53:29 -0600 | received badge | ● Scholar (source) |
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| 2016-07-11 09:53:16 -0600 | commented answer | Can you please tell me a good comparision method for comparining the below two images Template matching did work but I had to use cv2.TM_CCOEFF_NORMED as TM_CCORR_NORMED showed me it was a match with other random images |
| 2016-06-30 12:54:10 -0600 | asked a question | ORB based comparision -- How to remove the junk matches in the second image
So basically i cant differentiate the images , is there a way i can differentiate them using ORB. I even changed the patch and threshold but not a big change to diffrentiate images. Even the distance is almost similar and I tried using different distance measuring techniques but did not really help |
| 2016-06-30 10:04:35 -0600 | commented question | Can you please tell me a good comparision method for comparining the below two images Do I need to train the vocabulary for BoW descriptor |
| 2016-06-30 00:17:39 -0600 | asked a question | Can you please tell me a good comparision method for comparining the below two images Tests done 1.HSV histograms -- failed 2.Color histograms -- failed (huge difference in colors) 3.ORB detectors and descriptors , BF matchers -- did not work changed the patch size but still could not find desired results. 4.MSER keypoints and ORB descriptor and BF matcher still could differentiate IMAGE-1 |
IMAGE-2 