In other words, the number of inliers of each object is much smaller than that of outliers.
It is well-known that robust fitting methods such as RANSAC perform poorly when the number of inliers falls much below 50% of that of the keypoint matches.
Therefore, it is difficult for the conventional method to detect and identify multiple identical objects in the image.