3-D Visual Object Classification with Hierarchical Radial Basis Function Networks

摘要

In this chapter we present a 3-D visual object recognition system for an autonomous mobile robot. This object recognition system performs the following three tasks: Object localization in the camera images, feature extraction, and classification of the extracted feature vectors with hierarchical radial basis function (RBF) networks.