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 | 1 | initial version |
After playing about with different images I've came up with three images that are complex enough for the ORB detector to easily detect but distinct enough that it doesn't confuse them with each other. (N.B. I only stopped at three as it's all I need for the moment so I don't know if there will be a limit on the distinctiveness you can make these.)
Image one:
Image Two:
Image Three:
I have no reason to doubt that these images should not work with other feature point detection algorithms but I have not tested it. Hopefully this will be of some use for others
| | 2 | No.2 Revision |
After playing about with different images I've came up with three images that are complex enough for the ORB detector to easily detect but distinct enough that it doesn't confuse them with each other. (N.B. I only stopped at three as it's all I need for the moment so I don't know if there will be a limit on the distinctiveness you can make these.)
Image one:
Image Two:
Image Three:
I have no reason to doubt that these images should not work with other feature point detection algorithms but I have not tested it. Hopefully this will be of some use for others
N.B. There was small false positives detected within the video frame which where filtered out by calculating the number of inliers within the homography and checking if this was over a pre-set value (in my case 100).
