ART-1 neural network for reducing search space in 3-D object recognition using multiple views

An ART-1 neural network is applied to the problem of 3-D object recognition using a multiple-view modeling scheme. In this scheme, the 3-D object model database consists of sets of features extracted from 2-D projections rendered by a number of predetermined viewpoints on a view sphere enclosing the object. To recognize the object, a coarse-to-fine search strategy is adopted. ART-1 is used at the coarse search stage to reduce the search space in the model database. Experiments carried out to corroborate the proposed scheme are discussed