We propose an object recognition scheme based on a method for feature extraction from gray level images that corresponds to recent statistical theory, called projection pursuit, and is derived from a biologically motivated feature extracting neuron. To evaluate the performance of this method we use a set of very detailed psychophysical three-dimensional object recognition experiments (Bulthoff and Edelman 1992).
['Nathan Intrator', 'Joshua I. Gold']
Three-dimensional object recognition using an unsupervised BCM network: the usefulness of distinguishing features