3-D Visual Object Classification with Hierarchical Radial Basis Function Networks
Friedhelm Schwenker, Hans A. Kestler · Studies in fuzziness and soft computing · 2001
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. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.