Improving Geometric Hashing by means of feature descriptors

Geometric Hashing is a well-known technique for object recognition. This paper proposes a novel method aimed at improving the performance of Geometric Hashing in terms of robustness toward occlusion and clutter. To this purpose, it employs feature descriptors to notably decrease the amount of false positives that generally arise under these conditions. An additional advantage of the proposed technique with respect to the original method is the reduction of the computation requirements, which becomes significant with increasing number of features.