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| 2015-10-29 18:36:51 -0600 | commented question | Feature matching - Minimum numbers of matches Thanks for your feedback. However, I have three objects and two of them are similar and one of them is different. I have more than 4 points matched between AB and AC. I'm wondering if there is any decision maker and algorithmic approach to find the best match ? |
| 2015-10-29 00:06:38 -0600 | asked a question | Feature matching - Minimum numbers of matches I'm playing with "feature matching" in OpenCV. For different types of matching methods, we need to define a condition (i.e. OpenCV – SIFT SURF ORB tutorial MIN_MATCH_COUNT = 10) regarding the minimum number of matches. I'm wondering if there is any kind of standard or golden standard method or criteria for setting this condition? How can / should we technically get this sort of threshold or condition? Even a rule of thumb suggested would be help. Thank you so much, |