(Central University of Punjab, 2015) Mahato, Suchismita; Jain, AK
Feature Matching is one of the central issues of model-based recognition
and an important component of most object recognition systems. The feature
matching technique can be applied in image alignment, 3D secure reconstruction,
motion tracking, object recognition and in pharmacophore based molecular
alignment. Even though numerous algorithms exist for feature recognition and
search yet the efficiency of these have considerable room for improvement. This
has necessitated a continuous search for better performing algorithms. The
combination of geometric hashing technique and tolerance limits for a given set of
known interactions can be used for the pharmacophore modelling based search.
The algorithm proposed is precise as compared with the previous existing
algorithms. This algorithm is better in its runtime complexity.
