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 | 1 | initial version |
The standard feature based approach has trouble when there a multiple instances of the same object. One of your problems could be the computation of the good matches. If there are multiple objects, a feature from your template image will fit very well to several features in your image, so your algorithm will assign it rather randomly. That means if you have three instances, your input into the RANSAC will be only a third of the good matched you would have if you see only one instance. And also the ratio of inliers in the input data will be rather bad so that you could need much more tries than before.
| | 2 | No.2 Revision |
The standard feature based approach has trouble problems when there a are multiple instances of the same object. One of your problems could be the computation of the good matches. If there are multiple objects, a feature from your template image will fit very well to several features in your image, so your algorithm will assign it rather randomly. That means if you have three instances, your input into the RANSAC will be only a third of the good matched you would have if you see only one instance. And also the ratio of inliers in the input data will be rather bad so that you could need much more tries than before.
