Editing Geometric hashing (section)

==== Recognition Phase ====
# Find interesting feature points in the input image.
# Choose an arbitrary basis. If there isn't a suitable arbitrary basis, then it is likely that the input image does not contain the target object.
# Describe coordinates of the feature points in the new basis. Quantize obtained coordinates as it was done before.
# Compare all the transformed point features in the input image with the hash table. If the point features are identical or similar, then increase the count for the corresponding basis (and the type of object, if any).
# For each basis such that the count exceeds a certain threshold, verify the hypothesis that it corresponds to an image basis chosen in Step 2. Transfer the image coordinate system to the model one (for the supposed object) and try to match them. If successful, the object is found. Otherwise, go back to Step 2.