Object recognition using geometric hashing on the Connection Machine

Abstract

A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x>